A swarm Intelligence-Driven Collaborative Intrusion Detection System (CIDS) for 6G-IoT networks

Alkabir, Mohamed Mahmoud and Nashnosh, Mohamed Taher and Shaladi, Tarek Ayad (2025) A swarm Intelligence-Driven Collaborative Intrusion Detection System (CIDS) for 6G-IoT networks. International Journal of Science and Research Archive, 15 (3). pp. 1593-1607. ISSN 2582-8185

6G wireless networks introduce revolutionary features beyond 5G by providing human-focused services and extended IoT battery life and holographic telepresence and tactile Internet capabilities. 6G enables terahertz (THz) spectrum together with pervasive AI and intelligent spectrum management to deliver unmatched reliability and complete 3D coverage. The AI-native architecture and distributed intelligence of 6G networks create new security risks because they make systems more vulnerable to adversarial attacks and scalability limitations. A Swarm Intelligence-Driven Collaborative Intrusion Detection System (CIDS) for 6G-IoT networks addresses security challenges through the combination of ant colony optimization (ACO) with Edge Blockchain for decentralized adaptive threat detection. The framework includes three main components: (1) autonomous ant agents spread anomaly signatures through pheromone trails and (2) lightweight Hyperledger Fabric provides tamper-proof logging of threat intelligence and (3) smart contracts execute mitigation actions based on dynamic trust threshold values. The 50-node UAV-ground sensor testbed results show that the system detects DDoS attacks with 98.7% accuracy while achieving 47% lower latency than federated learning baselines and 73% storage efficiency through IPFS-backed hashing. The system decreases false positives by 62% while maintaining blockchain transaction rates of 420 per second at large scales. The proposed framework swarm intelligence with distributed ledger technology solves essential 6G security challenges regarding autonomy and scalability and resilience which enables trustworthy AI-driven networks.