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IoT Cybersecurity: Trends, Challenges, and Solutions.
・ISBN 978-1-032-95878-1 hard GB£ 171.99
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| 著者・編者 | Shaw, Laxmi / Ajitha, D. / Chakraborty, Chinmay / Prabin, S.M. (eds.), |
|---|---|
| シリーズ | (Advances in Computational Collective Intelligence) |
| 出版社 | (Auerbach, UK) |
| 出版年月 | 2026 |
| ページ数 | 269 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-3916> |
解説
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 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
This 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.