INTRUSION DETECTION SYSTEM (IDS) FOR SELF-ORGANIZING WHEELED ROBOT NETWORKS AGAINST BLACKHOLE AND SYBIL ATTACKS
Keywords:
Intrusion Detection System, IDS, self-organizing networks, wheeled robots, cybersecurity, Blackhole attack, Sybil attack, malicious nodes, network security, autonomous robot communication.Abstract
This thesis investigates the development of an Intrusion Detection System (IDS) for improving the cybersecurity of self-organizing wheeled robot networks against Blackhole and Sybil attacks. The proposed approach analyzes network traffic, node behavior, routing information, and communication patterns to detect malicious activities and maintain the availability, reliability, and integrity of communication among autonomous robots.
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