IoT Cybersecurity
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Erscheint vorauss. 23. April 2026
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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…mehr

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Produktbeschreibung
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 non-compliance. 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 security * Machine learning approaches for IoT network threat detection and security optimization * Using AI to enhance IoT-based intrusion detection systems * A study on emerging threats and vulnerabilities The 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. The book is a resource offering innovative solutions, research findings, case studies, and practical insights related to securing IoT ecosystems.
Autorenporträt
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 part of the Electronics & Communication Engineering department at Birla Institute of Technology, India. Dr. S.M. Prabin is an Assistant Professor Senior Grade in the Department of Computer Science and Engineering at the Vellore Institute of Technology.