Fuzzy Intrusion Detection Method and Zero-Knowledge Authentication for Internet of Things Networks

Authors

  • Navin Kamuni IT Consultant, BITS PILANI WILP, Delhi, India
  • Iratus Glenn A. Cruz Instructor 1, CMISO Coordinator, College of Communication and Information Technology, President Ramon Magsaysay State University, Castillejos Campus, Philippines
  • Yeruva Jaipalreddy Assistant Professor, Department of Electronics and Communication Engineering, Narasaraopeta Engineering College, Andhra Pradesh, India
  • Rakesh Kumar Assistant Professor, Department:Electronics and Communication Engineering, I K Gujral Punjab Technical University, Kapurthala, Punjab, India
  • Vivek Kumar Pandey Research Scholar, Department of Electronics and Communication, University of Allahabad, Uttar Pradesh, India

Keywords:

Internet of Things (IoT), Intrusion Detection, fuzzy logic, Networks

Abstract

One of the encouraging trends that has contributed to the exponential rise in human progress over the last decade is the Internet of Things (IoT). Interconnection of physical objects for the purpose of data exchange is the next frontier of the internet, known as the Internet of Things (IoT). Everything from household appliances to cars to buildings to animals is part of the Internet of Things (IoT). The Internet of Things (IoT) has become the de facto standard because to its many useful uses in business, medicine, agriculture, and other fields. The Internet of Things (IoT) integrates wireless, pervasive, and ubiquitous technology to solve problems. Things with sensors implanted in them and linked over the internet make it up. Data is collected and shared by these networked devices. Many applications rely on the monitoring and analysis of data originating from heterogeneous devices. Fuzzy logic is used in this study to create a new, lightweight intrusion detection system (IDS) for Internet of Things (IoT) applications based on the MQTT protocol. Using fuzzy variables, the IDS detects network irregularities.  In conclusion, this study offers a fresh security framework to solve the problems with current algorithms in an Internet of Things setting. This study also provides an application layer security that smart environments may use to avoid DoS attacks.

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Published

23.02.2024

How to Cite

Kamuni, N. ., A. Cruz, I. G. ., Jaipalreddy, Y., Kumar, R. ., & Pandey, V. K. . (2024). Fuzzy Intrusion Detection Method and Zero-Knowledge Authentication for Internet of Things Networks. International Journal of Intelligent Systems and Applications in Engineering, 12(16s), 289–296. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4821

Issue

Vol. 12 No. 16s (2024)

Section

Research Article

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