Performance evaluation of a Fuzzy Logic-based IDS (FLIDS) technique for the Detection of Different Types of Jamming Attacks in IoT Networks
Author:
Affiliation:
1. University of Cyprus,Department of Computer Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10168827/10168806/10168848.pdf?arnumber=10168848
Reference24 articles.
1. Securing Wireless Transmission against Reactive Jamming: A Stackelberg Game Framework
2. Network Attack Classification in IoT Using Support Vector Machines
3. A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends
4. The Impact of Network Layer Attacks in Wireless Sensor Networks
5. Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System
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2. Evaluating Localization Algorithms in IoT Networks Under Jamming Attacks;2024 IFIP Networking Conference (IFIP Networking);2024-06-03
3. Location-enabled IoT (LE-IoT): Indoor Localization for IoT Environments using Machine Learning;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29
4. Detecting multiple jammers using Fuzzy-Logic Intrusion Detection System (FLIDS);2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29
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