Adaptive Security for the Internet of Things: Research, Standards, and Practices

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9780128016275: Adaptive Security for the Internet of Things: Research, Standards, and Practices

Adaptive Security for the Internet of Things: Research, Standards and Practices details the huge potential brought by the Internet of Things (IoT) paradigm and several significant obstacles that block the fulfillment of the IoT vision, including security.

The book assembles relating topics into a coherent body of knowledge consisting of theories, case studies, examples, and open problems, and builds on a set of formal and practical links to highlight the impact of the context on all the processes of the adaptive security engineering lifecycle, including an exploration of the idea that adaptive security should rely on an accurate representation of the dynamic context encompassing threats, energy level, and security requirements.

In addition, the book provides information on studying and analyzing the trade-off between security effectiveness and energy-efficiency. Researchers and practitioners will find a complete framework for the concepts and research being conducted around IoT security.

  • Presents the most current and leading-edge research on adaptive security for the Internet of Things (IoT)
  • Features a panel of top experts in the field who focus on the dynamic context of IoT security, including context-aware threat analysis, game theory and applications, learning techniques for real-time reaction to attacks, and distributed monitoring
  • Covers best practices and standards for IoT security, including risk management and assessment, practical implementation of security mechanisms in IoT, and metrics for IoT adaptive security
  • Includes coverage of key IoT security considerations, including energy efficiency, resiliency, effectiveness, and cross-layer design

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About the Author:

Dr. Habtamu Abie is currently a Senior Research Scientist at the Norwegian Computing Center. He received his B.Sc., M.Sc. and Ph.D. in computer science from the University of Oslo and has many years of experience in computing, both as practitioner and researcher. He has a strong and extensive background in the design and development of real-time systems, and the design, modelling and development of security for distributed object computing systems. He has previously been senior engineer and research scientist at Telenor Research and Development, scientific associate and fellow at CERN, researcher at ABB Corporate Research, software development engineer at Nera-AS, and Alcatel Telecom Norway. His past and present research interests encompass adaptive security (risk management, protocols, DRM, IDM, requirements, metrics, policy, privacy, trust) in distributed and telecommunications systems, architecture and methodology, formal methods and tools, hard real-time systems, and mobile, ubiquitous and ambient intelligent computing. He has served as guest-editor of the Special Issue on Security of Wireless Communication Systems of the Journal of Networks and serves as a project proposal reviewer for research and higher academic institutions such as The Natural Sciences and Engineering Research Council of Canada, and Province of British Columbia Natural Resources and Applied Sciences (NRAS). He has also been engaged in building large consortia and leading technical R&D work, both in industry-driven and multinational projects. Currently, Dr. Abie works on privacy risk assessment methods for identity management in the PETweb II (Privacy-respecting Identity Management for e-Norge) project, and on the information security properties, trustworthiness, security functions and privacy implications of the IoT in the uTRUSTit (Usable TRUST in the Internet of Things - FP7) project. He is the principal scientist and project manager of the ASSET (Adaptive Security for Smart Internet of Things in eHealth) project, which researches and develops risk-based adaptive security methods and mechanisms for IoT in eHealth using game theory and context-awareness that increase security to an appropriate level.

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