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Wireshark for Security Professionals
Master Wireshark to solve real-world security problems If you don’t already use Wireshark for a wide range of information security tasks, you will after this book. Mature and powerful, Wireshark is commonly used to find root cause of challenging network issues. This book extends that power to information security professionals, complete with a downloadable, virtual lab environment. Wireshark for Security Professionals covers both offensive and defensive concepts that can be applied to essentially any InfoSec role. Whether into network security, malware analysis, intrusion detection, or penetration testing, this book demonstrates Wireshark through relevant and useful examples. Master Wireshark through both lab scenarios and exercises. Early in the book, a virtual lab environment is provided for the purpose of getting hands-on experience with Wireshark. Wireshark is combined with two popular platforms: Kali, the security-focused Linux distribution, and the Metasploit Framework, the open-source framework for security testing. Lab-based virtual systems generate network traffic for analysis, investigation and demonstration. In addition to following along with the labs you will be challenged with end-of-chapter exercises to expand on covered material. Lastly, this book explores Wireshark with Lua, the light-weight programming language. Lua allows you to extend and customize Wireshark’s features for your needs as a security professional. Lua source code is available both in the book and online. Lua code and lab source code are available online through GitHub, which the book also introduces. The book’s final two chapters greatly draw on Lua and TShark, the command-line interface of Wireshark. By the end of the book you will gain the following: Master the basics of WiresharkExplore the virtual w4sp-lab environment that mimics a real-world networkGain experience using the Debian-based Kali OS among other systemsUnderstand the technical details behind network attacksExecute exploitation and grasp offensive and defensive activities, exploring them through WiresharkEmploy Lua to extend Wireshark features and create useful scripts To sum up, the book content, labs and online material, coupled with many referenced sources of PCAP traces, together present a dynamic and robust manual for information security professionals seeking to leverage Wireshark.
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Cloud Security
Cloud computing has gained paramount attention and most of the companies are adopting this new paradigm and gaining significant benefits. As number of applications and business operations are being facilitated by the cloud computing paradigm, it has become the potential target to attackers. The importance of well-organized architecture and security roles have become greater with the growing popularity.Cloud Security: Attacks, Techniques, Tools, and Challenges, provides an in-depth technical description about various key essential aspects of cloud security. We have endeavored to provide a technical foundation that will be practically useful not just for students and independent researchers but also for professional cloud security analysts for conducting security procedures, and all those who are curious in the field of cloud securityThe book offers comprehensive coverage of the most essential topics, including: Basic fundamentals of Cloud Computing Cloud security concepts, vulnerabilities, security standards and reference models Cloud security goals, key issues and privacy requirements Threat model, detailed taxonomy of cloud attacks, Attack feature analysis – case study A detailed taxonomy of IDS techniques and Cloud Intrusion Detection Systems (IDS) Attack and security tools, LibVMI – case study Advanced approaches: Virtual Machine Introspection (VMI) and Hypervisor Introspection (HVI) Container security: threat model, attacks and defense systemsThis book is intended for both academic and professional audience. It could also be used as a textbook, for a semester course at undergraduate and post graduate level in Computer Science, Information Technology, Information Security, and Information Science & Management. The book serves as basic reference volume for researchers in cloud security. It will be useful to practitioners, cloud security team, and the cloud security auditor as well. To get the most out of this book, the reader should have a working knowledge of various operating system environments, hypervisors, cloud computing fundamentals, programming languages like Python and a working knowledge of security tools.
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10 Machine Learning Blueprints You Should Know for Cybersecurity
Work on 10 practical projects, each with a blueprint for a different machine learning technique, and apply them in the real world to fight against cybercrimePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn how to frame a cyber security problem as a machine learning problemExamine your model for robustness against adversarial machine learningBuild your portfolio, enhance your resume, and ace interviews to become a cybersecurity data scientistBook DescriptionMachine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data. This book will prepare machine learning practitioners to effectively handle tasks in the challenging yet exciting cybersecurity space.The book begins by helping you understand how advanced ML algorithms work and shows you practical examples of how they can be applied to security-specific problems with Python – by using open source datasets or instructing you to create your own. In one exercise, you’ll also use GPT 3.5, the secret sauce behind ChatGPT, to generate an artificial dataset of fabricated news. Later, you’ll find out how to apply the expert knowledge and human-in-the-loop decision-making that is necessary in the cybersecurity space. This book is designed to address the lack of proper resources available for individuals interested in transitioning into a data scientist role in cybersecurity. It concludes with case studies, interview questions, and blueprints for four projects that you can use to enhance your portfolio.By the end of this book, you’ll be able to apply machine learning algorithms to detect malware, fake news, deep fakes, and more, along with implementing privacy-preserving machine learning techniques such as differentially private ML.What you will learnUse GNNs to build feature-rich graphs for bot detection and engineer graph-powered embeddings and featuresDiscover how to apply ML techniques in the cybersecurity domainApply state-of-the-art algorithms such as transformers and GNNs to solve security-related issuesLeverage ML to solve modern security issues such as deep fake detection, machine-generated text identification, and stylometric analysisApply privacy-preserving ML techniques and use differential privacy to protect user data while training ML modelsBuild your own portfolio with end-to-end ML projects for cybersecurityWho this book is forThis book is for machine learning practitioners interested in applying their skills to solve cybersecurity issues. Cybersecurity workers looking to leverage ML methods will also find this book useful. An understanding of the fundamental machine learning concepts and beginner-level knowledge of Python programming are needed to grasp the concepts in this book. Whether you’re a beginner or an experienced professional, this book offers a unique and valuable learning experience that’ll help you develop the skills needed to protect your network
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Web Application Security
In the first edition of this critically acclaimed book, Andrew Hoffman defined the three pillars of application security: reconnaissance, offense, and defense. In this revised and updated second edition, he examines dozens of related topics, from the latest types of attacks and mitigations to threat modeling, the secure software development lifecycle (SSDL/SDLC), and more.Hoffman, senior staff security engineer at Ripple, also provides information regarding exploits and mitigations for several additional web application technologies such as GraphQL, cloud-based deployments, content delivery networks (CDN) and server-side rendering (SSR). Following the curriculum from the first book, this second edition is split into three distinct pillars comprising three separate skill sets:Pillar 1: Recon—Learn techniques for mapping and documenting web applications remotely, including procedures for working with web applicationsPillar 2: Offense—Explore methods for attacking web applications using a number of highly effective exploits that have been proven by the best hackers in the world. These skills are valuable when used alongside the skills from Pillar 3.Pillar 3: Defense—Build on skills acquired in the first two parts to construct effective and long-lived mitigations for each of the attacks described in Pillar 2.
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Learning Serverless Security
Despite the increased adoption of serverless computing services around the world, a big gap still exists when it comes to serverless security knowledge and expertise. This gap comes with a steep price: the increased risk of data breaches as more companies store their data in the cloud.This practical guide covers the relevant offensive and defensive security techniques to audit and secure serverless applications running on AWS, Azure, and Google Cloud. You'll learn how to attack and defend a variety of vulnerable serverless applications using the step-by-step instructions. By the end of this book, you'll have a solid understanding on how to prevent a variety of serverless application attacks and privilege escalation techniques.Author Joshua Arvin Lat, chief technology officer at NuWorks Interactive Labs and AWS Machine Learning Hero, shows you how to:Identify and exploit vulnerabilities within modern serverless applicationsPerform privilege escalation techniques in cloud environmentsUse automated tools and services for offensive and defensive securityConfigure authentication and identity services properly on AWS, Azure, and Google CloudImplement security strategies and best practices to prevent a variety of serverless application attacksAudit serverless environments using a variety of security tools and frameworks
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Windows System Security Foundations
Whether you're a student, a career changer, or an early-career professional, this book offers a practical, hands-on introduction to Windows security fundamentals from both offensive and defensive perspectives. With over 100 exercises designed to reinforce key concepts, readers will gain real-world experience in securing domain-joined and stand-alone Windows systems.The journey begins with PowerShell--an essential tool for both administrators and attackers. You'll learn how PowerShell history is recorded, how credentials are managed, and how scripts can be obfuscated or monitored. From there, the book explores Windows users and groups, the logon process, access tokens, and User Account Control (UAC), providing a clear understanding of how Windows manages identity and privilege.Readers will dive into password hash storage and cracking techniques using tools like John the Ripper, and explore how rights and privileges are assigned through group memberships. The book also covers the Windows file system in depth, including symbolic links, alternate data streams, and the Mark of the Web, along with techniques for managing file permissions and discretionary access control lists (DACLs).You'll gain insight into Windows processes and services, learn how to view and manage them effectively, and understand key boot processes and process integrity. Each chapter builds practical skills that prepare you to think like both an attacker and a defender--essential for anyone entering the cybersecurity field.WHAT YOU WILL LEARN Hands-on experience with the security of domain-joined and stand-alone Windows systems.Create and manage local and domain users on a Windows system, will understand how and where their password hashes are stored, and be able to crack Windows passwords with John the Ripper.How Windows assigns privileges and rights to users and groups, including how access tokens are assigned and how they are used in User Account Control (UAC).How the Windows file system is organized, including shortcuts, symbolic links, junctions, alternate data streams, and the Mark of the Web; the reader will be able to view and manage file permissions and discretionary access control lists (DACLs).How to view and manage processes and services in Windows. WHO THIS BOOK IS FOR: Ideal for computer science students, early-career professionals, and career changers looking to build a strong foundation in Windows security. Whether used in the classroom or for self-study, this book equips readers with the hands-on experience needed to succeed in cybersecurity.
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Offensive and Defensive Cyber Security Strategies
The aim of this book is to explore the definitions and fundamentals of offensive security vs defensive Security and describe the different tools and technologies for protecting against cyber threats. The book offers strategies of a practical aspects of cybersecurity and covers the main disciplines needed to understand cybersecurity and demonstrates ethical and legal concepts of cyber activities. It presents important concepts relevant for cybersecurity strategies, including the concept of cybercrime, cyber defence, protection of IT systems and analysis of risks.
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Cracking Codes With Python
Cracking Secret Codes with Python is a hands-on introduction to Python that teaches readers how to make and hack cipher programs, which are used to encrypt secret messages. It covers ciphers like the Caesar cipher, transposition cipher, and the RSA cipher, and teaches readers how to test and hack them. For every program, Sweigart provides the full source code and then walks readers through it, explaining how every line works. Along the way, readers will learn Python fundamentals - and by the book's end, they'll have a solid foundation in Python and some fun programs under their belt.
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Hacking Exposed Unified Communications & VoIP Security Secrets & Solutions, Second Edition
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.The latest techniques for averting UC disaster“This book is a must-read for any security professional responsible for VoIP or UC infrastructure. This new edition is a powerful resource that will help you keep your communications systems secure.” —Dan York, Producer and Co-Host, Blue Box: The VoIP Security Podcast“The original edition, Hacking Exposed: Voice over IP Secrets & Solutions, provided a valuable resource for security professionals. But since then, criminals abusing VoIP and UC have become more sophisticated and prolific, with some high-profile cases ringing up huge losses. This book is a welcome update that covers these new threats with practical examples, showing the exact tools in use by the real attackers.” —Sandro Gauci, Penetration Tester and Security Researcher, Author of SIPVicious“Powerful UC hacking secrets revealed within. An outstanding and informative book. Hacking Exposed: Unified Communications & VoIP Security Secrets & Solutions walks the reader through powerful yet practical offensive security techniques and tools for UC hacking, which then informs defense for threat mitigation. The authors do an excellent job of weaving case studies and real-world attack scenarios with useful references. This book is essential for not only IT managers deploying UC, but also for security practitioners responsible for UC security.” —Jason Ostrom, UC Security Researcher, Stora SANS Institute, co-author, SEC540 class“After reading Hacking Exposed: Unified Communications & VoIP Security Secrets & Solutions, I was saddened to not have had this book published years ago. The amount of time and money I could have saved myself, and my clients, would have been enormous. Being a professional in an ITSP/MSP, I know firsthand the complexities and challenges involved with auditing, assessing, and securing VoIP-based networks. From the carrier level, right down to the managed PBX level, and everything in between, Hacking Exposed: Unified Communications & VoIP Security Secrets & Solutions is a de facto must-have book. For those learning VoIP security to those heavily involved in any VoIP-related capacity, this book is worth its weight in gold.” —J. Oquendo, Lead Security Engineer, E–Fensive Security Strategies“Hacking Exposed: Unified Communications & VoIP Security Secrets & Solutions, includes more sophisticated attack vectors focused on UC and NGN. The authors describe in depth many new tools and techniques such as TDoS and UC interception. Using these techniques, you will learn how you can identify the security problems of VoIP/UC. This book is a masterpiece.” —Fatih Ozavci, Senior Security Consultant at Sense of Security, Author of viproy“This book provides you with the knowledge you need to understand VoIP threats in reality. No doom and gloom, overhyped, never to
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Machine Learning Security Principles
Thwart hackers by preventing, detecting, and misdirecting access before they can plant malware, obtain credentials, engage in fraud, modify data, poison models, corrupt users, eavesdrop, and otherwise ruin your dayKey FeaturesDiscover how hackers rely on misdirection and deep fakes to fool even the best security systemsRetain the usefulness of your data by detecting unwanted and invalid modificationsDevelop application code to meet the security requirements related to machine learningBook DescriptionBusinesses are leveraging the power of AI to make undertakings that used to be complicated and pricy much easier, faster, and cheaper. The first part of this book will explore these processes in more depth, which will help you in understanding the role security plays in machine learning.As you progress to the second part, you'll learn more about the environments where ML is commonly used and dive into the security threats that plague them using code, graphics, and real-world references.The next part of the book will guide you through the process of detecting hacker behaviors in the modern computing environment, where fraud takes many forms in ML, from gaining sales through fake reviews to destroying an adversary's reputation. Once you've understood hacker goals and detection techniques, you'll learn about the ramifications of deep fakes, followed by mitigation strategies.This book also takes you through best practices for embracing ethical data sourcing, which reduces the security risk associated with data. You'll see how the simple act of removing personally identifiable information (PII) from a dataset lowers the risk of social engineering attacks.By the end of this machine learning book, you'll have an increased awareness of the various attacks and the techniques to secure your ML systems effectively.What you will learnExplore methods to detect and prevent illegal access to your systemImplement detection techniques when access does occurEmploy machine learning techniques to determine motivationsMitigate hacker access once security is breachedPerform statistical measurement and behavior analysisRepair damage to your data and applicationsUse ethical data collection methods to reduce security risksWho this book is forWhether you're a data scientist, researcher, or manager working with machine learning techniques in any aspect, this security book is a must-have. While most resources available on this topic are written in a language more suitable for experts, this guide presents security in an easy-to-understand way, employing a host of diagrams to explain concepts to visual learners. While familiarity with machine learning concepts is assumed, knowledge of Python and programming in general will be useful.
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Automating Security Detection Engineering
Accelerate security detection development with AI-enabled technical solutions using threat-informed defenseKey FeaturesCreate automated CI/CD pipelines for testing and implementing threat detection use casesApply implementation strategies to optimize the adoption of automated work streamsUse a variety of enterprise-grade tools and APIs to bolster your detection programPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionToday's global enterprise security programs grapple with constantly evolving threats. Even though the industry has released abundant security tools, most of which are equipped with APIs for integrations, they lack a rapid detection development work stream. This book arms you with the skills you need to automate the development, testing, and monitoring of detection-based use cases.You’ll start with the technical architecture, exploring where automation is conducive throughout the detection use case lifecycle. With the help of hands-on labs, you’ll learn how to utilize threat-informed defense artifacts and then progress to creating advanced AI-powered CI/CD pipelines to bolster your Detection as Code practices. Along the way, you'll develop custom code for EDRs, WAFs, SIEMs, CSPMs, RASPs, and NIDS. The book will also guide you in developing KPIs for program monitoring and cover collaboration mechanisms to operate the team with DevSecOps principles. Finally, you'll be able to customize a Detection as Code program that fits your organization's needs.By the end of the book, you'll have gained the expertise to automate nearly the entire use case development lifecycle for any enterprise.What you will learnUnderstand the architecture of Detection as Code implementationsDevelop custom test functions using Python and TerraformLeverage common tools like GitHub and Python 3.x to create detection-focused CI/CD pipelinesIntegrate cutting-edge technology and operational patterns to further refine program efficacyApply monitoring techniques to continuously assess use case healthCreate, structure, and commit detections to a code repositoryWho this book is forThis book is for security engineers and analysts responsible for the day-to-day tasks of developing and implementing new detections at scale. If you’re working with existing programs focused on threat detection, you’ll also find this book helpful. Prior knowledge of DevSecOps, hands-on experience with any programming or scripting languages, and familiarity with common security practices and tools are recommended for an optimal learning experience.
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Agentic AI for Cybersecurity
Agentic AI is no longer theoretical—but most cybersecurity teams are still struggling to move from concept to production. Agentic AI for Cybersecurity fills the critical gap between vendor hype and academic abstraction, delivering a practical, engineering-first guide that security architects can apply immediately. This is the book for professionals who need to build real systems—not just talk about them.At its core, this book argues that agentic AI is not a toolset but a new operating model for the Security Operations Center. That shift changes everything: architecture, governance, and risk. Unlike other titles, it refuses to separate capability from security. Offensive and defensive use cases are treated together, reflecting the real dual-use nature of agentic systems and equipping readers to design—and defend—against both.Timeliness is what makes this book essential. It is the first practitioner-focused guide to unify three converging forces shaping modern security: MCP-based agentic systems, their emerging and largely undocumented attack surface, and the parallel migration to post-quantum cryptography. Each is complex on its own—together, they define the next generation of security architecture. This book addresses them as a single, integrated challenge.Built for real-world use, every chapter follows a ‘what / how / why’ structure and culminates in runnable, production-grade architectures. Readers don’t just learn concepts—they deploy them, using reference implementations drawn from actual environments and supported by a living GitHub repository. From MCP servers and adversary emulation to AI-driven detection and quantum-resistant infrastructure, this is hands-on guidance grounded in reality.For practitioners who need clarity, credibility, and actionable design patterns, Agentic AI for Cybersecurity stands apart. It is unapologetically practical, rigorously honest about risks, and singular in its integration of architecture, security, and emerging AI paradigms—making it a must-have resource for building the next generation of secure systems.What You Will Learn:Master the conceptual architecture of agentic AIBuild, harden, and govern production-grade Model Context Protocol (MCP) servers for network and security operationsOperationalize AI-driven offensive security through Kali Linux integration via MCP and MITRE Caldera as an LLM-driven adversary emulation platformDefend against the agentic AI attack surfacePlan and execute the post-quantum cryptographic migration in AI-era infrastructureApply machine learning and deep learning to autonomous malware detection and threat classificationWho this Book is for:The target reader is a working network or security practitioner — a SOC analyst, network engineer, security architect, security engineer, or incident responder — who is being asked, by their employer or by the field, to integrate agentic AI into their operational practice and who needs guidance that is more concrete than vendor whitepapers and
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Predictive Data Security using AI
This contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues.
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Machine Learning and Security
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
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Practical Security Automation and Testing
Your one stop guide to automating infrastructure security using DevOps and DevSecOpsKey FeaturesSecure and automate techniques to protect web, mobile or cloud servicesAutomate secure code inspection in C++, Java, Python, and JavaScriptIntegrate security testing with automation frameworks like fuzz, BDD, Selenium and Robot FrameworkBook DescriptionSecurity automation is the automatic handling of software security assessments tasks. This book helps you to build your security automation framework to scan for vulnerabilities without human intervention.This book will teach you to adopt security automation techniques to continuously improve your entire software development and security testing. You will learn to use open source tools and techniques to integrate security testing tools directly into your CI/CD framework. With this book, you will see how to implement security inspection at every layer, such as secure code inspection, fuzz testing, Rest API, privacy, infrastructure security, and web UI testing. With the help of practical examples, this book will teach you to implement the combination of automation and Security in DevOps. You will learn about the integration of security testing results for an overall security status for projects.By the end of this book, you will be confident implementing automation security in all layers of your software development stages and will be able to build your own in-house security automation platform throughout your mobile and cloud releases.What you will learnAutomate secure code inspection with open source tools and effective secure code scanning suggestionsApply security testing tools and automation frameworks to identify security vulnerabilities in web, mobile and cloud servicesIntegrate security testing tools such as OWASP ZAP, NMAP, SSLyze, SQLMap, and OpenSCAPImplement automation testing techniques with Selenium, JMeter, Robot Framework, Gauntlt, BDD, DDT, and Python unittestExecute security testing of a Rest API Implement web application security with open source tools and script templates for CI/CD integrationIntegrate various types of security testing tool results from a single project into one dashboardWho this book is forThe book is for software developers, architects, testers and QA engineers who are looking to leverage automated security testing techniques.
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Deep Learning Techniques for IoT Security and Privacy
This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.
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Generative AI in Cybersecurity
This book explores the most common generative AI (GenAI) tools and techniques used by malicious actors for hacking and cyber-deception, along with the security risks of large language models (LLMs). It also covers how LLM deployment and use can be secured, and how generative AI can be utilized in SOC automation. The rapid advancements and growing variety of publicly available generative AI tools enables cybersecurity use cases for threat modeling, security awareness support, web application scanning, actionable insights, and alert fatigue prevention. However, they also came with a steep rise in the number of offensive/rogue/malicious generative AI applications. With large language models, social engineering tactics can reach new heights in the efficiency of phishing campaigns and cyber-deception via synthetic media generation (misleading deepfake images and videos, faceswapping, morphs, and voice clones). The result is a new era of cybersecurity that necessitates innovative approaches to detect and mitigate sophisticated cyberattacks, and to prevent hyper-realistic cyber-deception. This work provides a starting point for researchers and students diving into malicious chatbot use, system administrators trying to harden the security of GenAI deployments, and organizations prone to sensitive data leak through shadow AI. It also benefits SOC analysts considering generative AI for partially automating incident detection and response, and GenAI vendors working on security guardrails against malicious prompting.
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Network Security with OpenSSL
Most applications these days are at least somewhat network aware, but how do you protect those applications against common network security threats? Many developers are turning to OpenSSL, an open source version of SSL/TLS, which is the most widely used protocol for secure network communications. The OpenSSL library is seeing widespread adoption for web sites that require cryptographic functions to protect a broad range of sensitive information, such as credit card numbers and other financial transactions. The library is the only free, full-featured SSL implementation for C and C++, and it can be used programmatically or from the command line to secure most TCP-based network protocols. Network Security with OpenSSL enables developers to use this protocol much more effectively. Traditionally, getting something simple done in OpenSSL could easily take weeks. This concise book gives you the guidance you need to avoid pitfalls, while allowing you to take advantage of the library?s advanced features. And, instead of bogging you down in the technical details of how SSL works under the hood, this book provides only the information that is necessary to use OpenSSL safely and effectively.In step-by-step fashion, the book details the challenges in securing network communications, and shows you how to use OpenSSL tools to best meet those challenges. As a system or network administrator, you will benefit from the thorough treatment of the OpenSSL command-line interface, as well as from step-by-step directions for obtaining certificates and setting up your own certification authority. As a developer, you will further benefit from the in-depth discussions and examples of how to use OpenSSL in your own programs. Although OpenSSL is written in C, information on how to use OpenSSL with Perl, Python and PHP is also included. OpenSSL may well answer your need to protect sensitive data. If that?s the case, Network Security with OpenSSL is the only guide available on the subject.
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Mastering Defensive Security
An immersive learning experience enhanced with technical, hands-on labs to understand the concepts, methods, tools, platforms, and systems required to master the art of cybersecurityKey FeaturesGet hold of the best defensive security strategies and toolsDevelop a defensive security strategy at an enterprise levelGet hands-on with advanced cybersecurity threat detection, including XSS, SQL injections, brute forcing web applications, and moreBook DescriptionEvery organization has its own data and digital assets that need to be protected against an ever-growing threat landscape that compromises the availability, integrity, and confidentiality of crucial data. Therefore, it is important to train professionals in the latest defensive security skills and tools to secure them. Mastering Defensive Security provides you with in-depth knowledge of the latest cybersecurity threats along with the best tools and techniques needed to keep your infrastructure secure.The book begins by establishing a strong foundation of cybersecurity concepts and advances to explore the latest security technologies such as Wireshark, Damn Vulnerable Web App (DVWA), Burp Suite, OpenVAS, and Nmap, hardware threats such as a weaponized Raspberry Pi, and hardening techniques for Unix, Windows, web applications, and cloud infrastructures. As you make progress through the chapters, you'll get to grips with several advanced techniques such as malware analysis, security automation, computer forensics, and vulnerability assessment, which will help you to leverage pentesting for security.By the end of this book, you'll have become familiar with creating your own defensive security tools using IoT devices and developed advanced defensive security skills.What you will learnBecome well versed with concepts related to defensive securityDiscover strategies and tools to secure the most vulnerable factor – the userGet hands-on experience using and configuring the best security toolsUnderstand how to apply hardening techniques in Windows and Unix environmentsLeverage malware analysis and forensics to enhance your security strategySecure Internet of Things (IoT) implementationsEnhance the security of web applications and cloud deploymentsWho this book is forThis book is for all IT professionals who want to take their first steps into the world of defensive security; from system admins and programmers to data analysts and data scientists with an interest in security. Experienced cybersecurity professionals working on broadening their knowledge and keeping up to date with the latest defensive developments will also find plenty of useful information in this book. You'll need a basic understanding of networking, IT, servers, virtualization, and cloud platforms before you get started with this book.
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Offensive and Defensive Cyber Security Strategies
The aim of this book is to explore the definitions and fundamentals of offensive security vs defensive Security and describe the different tools and technologies for protecting against cyber threats. The book offers strategies of a practical aspects of cybersecurity and covers the main disciplines needed to understand cybersecurity and demonstrates ethical and legal concepts of cyber activities. It presents important concepts relevant for cybersecurity strategies, including the concept of cybercrime, cyber defence, protection of IT systems and analysis of risks.
R 1,625.17
Data-Driven Security
Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful data analysis and visualization. You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networksIncludes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacksCovers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and moreWritten by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.
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Data Structures for Engineers and Scientists Using Python
The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples. It provides a learning tool for engineers as well as for researchers and scientists of advanced level. The text further discusses important concepts such as polynomial manipulation, sparse matrices, implementation of stack using the queue model and topological sorting.This book:Discusses the implementation of various data structures such as an array, stack, queue, tree and graph along with sorting and searching algorithms. Includes programming tips to highlight important concepts and help readers avoid common programming errors. Presents each concept of data structure with a different approach and implements the same using Python programming. Offers rich chapter-end pedagogy including objective-type questions (with answers), review questions and programming exercises to facilitate review. Covers fundamentals of Python up to object-oriented concepts including regular expression. It is primarily written for senior undergraduate, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering and information technology.
R 3,297.00
Real World Instrumentation with Python
With this convenient, single-source reference, you'll learn how to develop instrumentation software with Python that lets you monitor or control devices in the physical world. Whether you need to acquire data from a hardware device or automate its functions, this book shows you how to build interfaces that include everything from software to wiring. You get step-by-step instructions, clear examples, and hands-on tips and hints for interfacing a PC to the real world, along with advice to help you avoid common pitfalls. Use the book's hardware survey to discover the interface type for your particular device, and then follow detailed examples to develop the interface with Python and C. Organized by interface type, data processing activities, and user interface implementations, this book is for anyone who works with instrumentation, robotics, data acquisition, or process control.* Understand how to define the scope of an application and determine the algorithms necessary -- and why it's important * Learn how to use industry-standard interfaces such as RS-232, RS-485, and GPIB * Create low-level extension modules in C to interface Python with a variety of hardware and test instruments * Explore the console, curses, TkInter, and wxPython for graphical and text-based user interfaces * Use open source software tools and libraries to reduce cost and avoid implementing functionality from scratch
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Hacking Exposed Malware & Rootkits: Security Secrets and Solutions, Second Edition
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Arm yourself for the escalating war against malware and rootkitsThwart debilitating cyber-attacks and dramatically improve your organization’s security posture using the proven defense strategies in this thoroughly updated guide. Hacking Exposed™ Malware and Rootkits: Security Secrets & Solutions, Second Edition fully explains the hacker’s latest methods alongside ready-to-deploy countermeasures. Discover how to block pop-up and phishing exploits, terminate embedded code, and identify and eliminate rootkits. You will get up-to-date coverage of intrusion detection, firewall, honeynet, antivirus, and anti-rootkit technology.• Learn how malware infects, survives, and propagates across an enterprise• See how hackers develop malicious code and target vulnerable systems• Detect, neutralize, and remove user-mode and kernel-mode rootkits • Use hypervisors and honeypots to uncover and kill virtual rootkits• Defend against keylogging, redirect, click fraud, and identity theft• Block spear phishing, client-side, and embedded-code exploits• Effectively deploy the latest antivirus, pop-up blocker, and firewall software• Identify and stop malicious processes using IPS solutions
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Mastering Cybersecurity
Mastering Cybersecurity: A Practical Guide to Cyber Tools and Techniques (Volume 2) offers a hands-on, real-world approach to developing modern cybersecurity skills. This volume builds on foundational concepts to provide readers with practical techniques and toolsets that are essential in today’s evolving threat landscape. Each chapter dives into a critical area of cybersecurity, emphasizing applied learning through real-world scenarios, case studies, and step-by-step exercises.This book begins with an in-depth focus on network security, guiding readers through capturing and analyzing traffic using command-line tools and understanding how attackers exploit unencrypted protocols. It then progresses to more complex attack vectors such as man-in-the-middle attacks, DNS spoofing, and email threats, reinforcing defensive strategies using tools like Wireshark and Tcpdump. The exploration of open-source intelligence (OSINT) offers a comprehensive look at harvesting digital footprints from publicly accessible data, applying techniques and tools such as Shodan, Google Dorking, and reverse image searches for real investigations. As the world becomes increasingly interconnected, this book dedicates several chapters to the Internet of Things (IoT), uncovering its vulnerabilities and showcasing threat surface attack assessments through real device testing and threat mapping frameworks. Readers learn to analyze device security and apply countermeasures such as secure boot, blockchain integration, and anomaly detection.The volume also delves into the dark web, shedding light on anonymous networks like TOR and I2P and equipping readers with methods to investigate hidden services safely. It explains how to extract intelligence using automation, analyze illicit activity, and integrate findings into broader cybersecurity frameworks. Culminating with advanced cyber threat intelligence (CTI), this book examines intelligence cycles, tools, and platforms, enabling readers to move from theory to practice. From indicator of compromise analysis and threat actor profiling to automation and incident response, readers gain the skills to leverage CTI for strategic defense.Designed for cybersecurity students, professionals, and enthusiasts, this book offers a balanced blend of technical depth, ethical awareness, and actionable guidance. By the end, readers will not only understand key cybersecurity domains but also be prepared to apply their knowledge in practical, high-stakes environments, making them valuable assets in the fight against cyber threats.
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