
IoT Cybersecurity by Laxmi Shaw
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.
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Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0
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Emotional Intelligence in the Digital Era
- Artificial Intelligence Frontiers
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Artificial Intelligence for Renewable Energy Systems
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Innovations and Applications of Technology in Language Education
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Smarter Healthcare Through Generative Intelligence
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AI and ML in IoT Security
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Metaverse and Blockchain
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AI for Environmental Innovation and Stewardship
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Artificial Intelligence in Action
- Parallel and High-Performance Computing in Artificial Intelligence
- Deep Learning and Blockchain Technology for Smart and Sustainable Cities
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Patient-Centric 6G
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Deep Learning Concepts in Operations Research
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Generative AI Tools
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Computational Intelligence in Industry 4.0 and 5.0 Applications
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Deep Learning Applications in Operations Research
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Data-Driven IoT Ecosystems
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Industry 5.0
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Decoding Global Marketing Decisions
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AI and IoT Technology and Applications for Smart Healthcare Systems
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Explainable Artificial Intelligence in Medical Imaging
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Data-Driven Modelling and Predictive Analytics in Business and Finance
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Technologies for Sustainable Global Higher Education
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Artificial Intelligence Techniques in Power Systems Operations and Analysis
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Edge Computational Intelligence for AI-Enabled IoT Systems
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Social Media and Crowdsourcing
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Augmented Reality and Sustainability
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Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development
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Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing
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Intelligent Business Analytics
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Using AI to Develop Sustainability Strategies for a Changing Global Economy
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Metaverse and Blockchain Use Cases and Applications
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Advanced AI and Data Science Applications
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.
| SKU | Unavailable |
| ISBN 13 | 9781032958781 |
| ISBN 10 | 1032958782 |
| Title | IoT Cybersecurity |
| Author | Laxmi Shaw |
| Series | Advances In Computational Collective Intelligence |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Auerbach Publications |
| Year published | 2026-05-20 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






























