Search results for "offensive security using python"
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Hands-On GPU Computing with Python
Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda AccelerateKey FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use the CUDA libraries like CuDNN for deep learning on GPUsBook DescriptionGPUs are proving to be excellent general purpose-parallel computing solutions for high performance tasks such as deep learning and scientific computing.This book will be your guide to getting started with GPU computing. It will start with introducing GPU computing and explain the architecture and programming models for GPUs. You will learn, by example, how to perform GPU programming with Python, and you’ll look at using integrations such as PyCUDA, PyOpenCL, CuPy and Numba with Anaconda for various tasks such as machine learning and data mining. Going further, you will get to grips with GPU work flows, management, and deployment using modern containerization solutions. Toward the end of the book, you will get familiar with the principles of distributed computing for training machine learning models and enhancing efficiency and performance.By the end of this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly.What you will learnUtilize Python libraries and frameworks for GPU accelerationSet up a GPU-enabled programmable machine learning environment on your system with AnacondaDeploy your machine learning system on cloud containers with illustrated examplesExplore PyCUDA and PyOpenCL and compare them with platforms such as CUDA, OpenCL and ROCm.Perform data mining tasks with machine learning models on GPUsExtend your knowledge of GPU computing in scientific applicationsWho this book is forData Scientist, Machine Learning enthusiasts and professionals who wants to get started with GPU computation and perform the complex tasks with low-latency. Intermediate knowledge of Python programming is assumed.
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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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Eye-Tracking with Python and Pylink
Several Python programming books feature tools designed for experimental psychologists. What sets this book apart is its focus on eye-tracking.Eye-tracking is a widely used research technique in psychology and neuroscience labs. Research grade eye-trackers are typically faster, more accurate, and of course, more expensive than the ones seen in consumer goods or usability labs. Not surprisingly, a successful eye-tracking study usually requires sophisticated computer programming. Easy syntax and flexibility make Python a perfect choice for this task, especially for psychology researchers with little or no computer programming experience.This book offers detailed coverage of the Pylink library, a Python interface for the gold standard EyeLink ® eye-trackers, with many step-by-step example scripts. This book is a useful reference for eye-tracking researchers, but you can also use it as a textbook for graduate-level programming courses.
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Developer's Playbook for Large Language Model Security
Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.Complete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list—a feat accomplished by more than 400 industry experts—this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI.You'll learn:Why LLMs present unique security challengesHow to navigate the many risk conditions associated with using LLM technologyThe threat landscape pertaining to LLMs and the critical trust boundaries that must be maintainedHow to identify the top risks and vulnerabilities associated with LLMsMethods for deploying defenses to protect against attacks on top vulnerabilitiesWays to actively manage critical trust boundaries on your systems to ensure secure execution and risk minimization
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Hacking Exposed Industrial Control Systems: ICS and SCADA Security Secrets & Solutions
Learn to defend crucial ICS/SCADA infrastructure from devastating attacks the tried-and-true Hacking Exposed wayThis practical guide reveals the powerful weapons and devious methods cyber-terrorists use to compromise the devices, applications, and systems vital to oil and gas pipelines, electrical grids, and nuclear refineries. Written in the battle-tested Hacking Exposed style, the book arms you with the skills and tools necessary to defend against attacks that are debilitating—and potentially deadly. Hacking Exposed Industrial Control Systems: ICS and SCADA Security Secrets & Solutions explains vulnerabilities and attack vectors specific to ICS/SCADA protocols, applications, hardware, servers, and workstations. You will learn how hackers and malware, such as the infamous Stuxnet worm, can exploit them and disrupt critical processes, compromise safety, and bring production to a halt. The authors fully explain defense strategies and offer ready-to-deploy countermeasures. Each chapter features a real-world case study as well as notes, tips, and cautions.Features examples, code samples, and screenshots of ICS/SCADA-specific attacksOffers step-by-step vulnerability assessment and penetration test instruction Written by a team of ICS/SCADA security experts and edited by Hacking Exposed veteran Joel Scambray
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Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing
This first-of-a-kind textbook provides computational tools in state-of-the-art OOPs Python that are fundamental to quantum information, quantum computing, linear algebra and one-dimensional spin half condensed matter systems. Over 104 subroutines are included, and the codes are aided by mathematical comments to enhance clarity. Suitable for beginner and advanced readers alike, students and researchers will find this textbook to be a helpful guide and a compendium which they can readily use.Features Includes over 104 codes in OOPs Python, all of which can be used either as a standalone program or integrated with any other main program without any issues. Every parameter in the input, output and execution has been provided while keeping both beginner and advanced users in mind. The output of every program is explained thoroughly with detailed examples. Detailed mathematical commenting is done alongside the code which enhances clarity about the flow and working of the code.
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Python
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1959.
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Python for Signal Processing
This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to “experiment and learn” as they read. The book focuses on the core, fundamental principles of signal processing. The code corresponding to this book uses the core functionality of the scientific Python toolchain that should remain unchanged into the foreseeable future. For those looking to migrate their signal processing codes to Python, this book illustrates the key signal and plotting modules that can ease this transition. For those already comfortable with the scientific Python toolchain, this book illustrates the fundamental concepts in signal processing and provides a gateway to further signal processing concepts.
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Research in Attacks, Intrusions, and Defenses
This three-volume set constitutes the refereed proceedings of the 29th International Symposium on Research in Attacks, Intrusions, and Defenses, RAID 2026, held in Lancaster, UK, in October 11 - 14, 2026.The 59 full papers presented in these volumes were carefully reviewed and selected from 307submissions.They were focused on following topical sections:Part 1 : Malware Detection and Analysis; Systems and Hardware Security; Cyber-Physical Systems and IoT Security.Part 2 : Software Security, Vulnerability Analysis, and Program Analysis; Network and Web Security; Intrusion Detection and Threat Intelligence.Part 3 : Software Supply Chain Security; Large Language Model Security; Usable Security and Privacy; Adversarial Machine Learning and Backdoor Attacks.
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