Multi‐objective prairie dog optimization algorithm for IoT‐based intrusion detection
Shubhkirti Sharma,
Vijay Kumar,
Kamlesh Dutta
Abstract:Detecting unauthorized access, unusual activities, and data is significant for the security of IoT networks as it helps identify malfunctioning, faults, and intrusions. Intrusion detection methods analyze network information to identify potential misuse or intrusion attacks. This research proposes a multi‐objective prairie dog optimization algorithm (MPDA) to improve its ability to deal with feature selection problems. The proposed algorithm is modified by incorporating the concepts of an archive, grid, and no… Show more
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