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Security and Privacy Issues in IoT Devices and Sensor Networks (eBook, ePUB)
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  • Format: ePub

Security and Privacy Issues in IoT Devices and Sensor Networks investigates security breach issues in IoT and sensor networks, exploring various solutions. The book follows a two-fold approach, first focusing on the fundamentals and theory surrounding sensor networks and IoT security. It then explores practical solutions that can be implemented to develop security for these elements, providing case studies to enhance understanding. Machine learning techniques are covered, as well as other security paradigms, such as cloud security and cryptocurrency technologies. The book highlights how these…mehr

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Produktbeschreibung
Security and Privacy Issues in IoT Devices and Sensor Networks investigates security breach issues in IoT and sensor networks, exploring various solutions. The book follows a two-fold approach, first focusing on the fundamentals and theory surrounding sensor networks and IoT security. It then explores practical solutions that can be implemented to develop security for these elements, providing case studies to enhance understanding. Machine learning techniques are covered, as well as other security paradigms, such as cloud security and cryptocurrency technologies. The book highlights how these techniques can be applied to identify attacks and vulnerabilities, preserve privacy, and enhance data security.

This in-depth reference is ideal for industry professionals dealing with WSN and IoT systems who want to enhance the security of these systems. Additionally, researchers, material developers and technology specialists dealing with the multifarious aspects of data privacy and security enhancement will benefit from the book's comprehensive information.

  • Provides insights into the latest research trends and theory in the field of sensor networks and IoT security
  • Presents machine learning-based solutions for data security enhancement
  • Discusses the challenges to implement various security techniques
  • Informs on how analytics can be used in security and privacy

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Autorenporträt
Dr. Sudhir Kumar Sharma is a Professor in the Department of Computer Science, Institute of Information Technology & Management affiliated to GGSIPU, New Delhi, India. He has extensive experience with over 19 years in the field of Computer Science and Engineering. He obtained his Ph.D. degree in Information Technology from USICT, GGSIPU, New Delhi, India. Dr. Sharma obtained his M. Tech degree in Computer Science & Engineering in 1999 from the Guru Jambheshwar University, Hisar, India and M.Sc. degree in Physics from the University of Roorkee (now IIT Roorkee), Roorkee, in 1997. His research interests include Machine Learning, Data Mining, and Security. He has published a number of research papers in various prestigious International Journals and International Conferences. He is a life member of CSI and IETE. Dr. Sharma is an Associate Editor of the International Journal of End-User Computing and Development (IJEUCD), IGI Global, USA. He is a convener of ICETIT-2019.