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What is Efficient IDS for DDoS in IoT Networks about?

The document proposes an efficient intrusion detection system (IDS) using a fuzzy inference system (FIS) optimized by particle swarm optimization (PSO) to detect distributed denial-of-service (DDoS) attacks in Internet of Things (IoT) networks. The system extracts network features from the IoT-23 dataset, processes the data, and implements a Mamdani FIS with PSO to optimize the FIS parameters. Experimental results on the IoT-23 dataset show the proposed system can accurately detect DDoS attacks in IoT netwo

Author

Tuấn Annh

Language

EN