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    IoT Cybersecurity

IoT Cybersecurity

Laxmi Shaw
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      Internet of Things (IoT) systems create a massive attack surface with billions of connected devices that often have weak default credentials and limited security capabilities, making them easy targets for cybercriminals to exploit at scale. Compromised IoT devices can serve as entry points for attackers to access valuable network resources, steal sensitive personal and business data, or launch large‑scale botnet attacks that disrupt critical infrastructure. Without proper security measures, IoT vulnerabilities can lead to serious consequences, including operational disruptions, safety hazards in critical systems like healthcare and transportation, and significant financial and legal penalties from regulatory noncompliance. IoT Cybersecurity: Trends, Challenges, and Solutions addresses the significant knowledge gap between rapidly deployed connected devices and understanding their unique security challenges. Highlights include:An efficient lightweight cryptography technique for enhancing IoT securityMachine learning approaches for IoT network threat detection and security optimizationUsing AI to enhance IoT-based intrusion detection systemsA study on emerging threats and vulnerabilitiesThis book presents research and insights into practice that explore security holes and effective solutions in the realm of IoT cybersecurity. Covering the evolving threat landscape in IoT environments, it sheds light on the intricacies of cybersecurity patterns and addresses the challenges that arise. This book is a resource offering innovative solutions, research findings, case studies, and practical insights related to securing IoT ecosystems.

      Format: Hardback CONTRIBUTORS: Laxmi Shaw EAN: 9781032958781 COUNTRY: United Kingdom PAGES: 274 WEIGHT: HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-04-30 CITY: GENRE: COMPUTERS / Security / Network Security, COMPUTERS / Security / General, COMPUTERS / Internet of Things (IoT) WIDTH: 156 mm SPINE:

      Book Themes:

      Coding theory and cryptology, Mathematical logic, Electrical engineering, WAP (wireless) technology, Digital and information technologies: Legal aspects, Computer fraud and hacking, Computer science

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      Dr. Laxmi Shaw is a senior postdoctoral fellow in the Dell Medical School at the University of Texas at Austin. Her primary research interests encompass pattern recognition, cognitive and neuroscience, IoT-based cloud computing, computer vision, and machine learning.Dr. D. Ajitha is an associate professor in School of Computer Science and Engineering, Vellore Institute of Technology, India.Dr. Chinmay Chakraborty is an associate professor and head of the Centre of Innovation & Research (COIR) in Medical Technology at KIIT (Deemed to be University), India. Dr. S.M. Prabin is an assistant professor, Snior Grade, in the Department of Computer Science and Engineering, Vellore Institute of Technology, India.

      Internet of Things (IoT) systems create a massive attack surface with billions of connected devices that often have weak default credentials and limited security capabilities, making them easy targets for cybercriminals to exploit at scale. Compromised IoT devices can serve as entry points for attackers to access valuable network resources, steal sensitive personal and business data, or launch large‑scale botnet attacks that disrupt critical infrastructure. Without proper security measures, IoT vulnerabilities can lead to serious consequences, including operational disruptions, safety hazards in critical systems like healthcare and transportation, and significant financial and legal penalties from regulatory noncompliance. IoT Cybersecurity: Trends, Challenges, and Solutions addresses the significant knowledge gap between rapidly deployed connected devices and understanding their unique security challenges. Highlights include:An efficient lightweight cryptography technique for enhancing IoT securityMachine learning approaches for IoT network threat detection and security optimizationUsing AI to enhance IoT-based intrusion detection systemsA study on emerging threats and vulnerabilitiesThis book presents research and insights into practice that explore security holes and effective solutions in the realm of IoT cybersecurity. Covering the evolving threat landscape in IoT environments, it sheds light on the intricacies of cybersecurity patterns and addresses the challenges that arise. This book is a resource offering innovative solutions, research findings, case studies, and practical insights related to securing IoT ecosystems.

      Format: Hardback CONTRIBUTORS: Laxmi Shaw EAN: 9781032958781 COUNTRY: United Kingdom PAGES: 274 WEIGHT: HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-04-30 CITY: GENRE: COMPUTERS / Security / Network Security, COMPUTERS / Security / General, COMPUTERS / Internet of Things (IoT) WIDTH: 156 mm SPINE:

      Book Themes:

      Coding theory and cryptology, Mathematical logic, Electrical engineering, WAP (wireless) technology, Digital and information technologies: Legal aspects, Computer fraud and hacking, Computer science

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      Dr. Laxmi Shaw is a senior postdoctoral fellow in the Dell Medical School at the University of Texas at Austin. Her primary research interests encompass pattern recognition, cognitive and neuroscience, IoT-based cloud computing, computer vision, and machine learning.Dr. D. Ajitha is an associate professor in School of Computer Science and Engineering, Vellore Institute of Technology, India.Dr. Chinmay Chakraborty is an associate professor and head of the Centre of Innovation & Research (COIR) in Medical Technology at KIIT (Deemed to be University), India. Dr. S.M. Prabin is an assistant professor, Snior Grade, in the Department of Computer Science and Engineering, Vellore Institute of Technology, India.

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