… binary chimp optimization algorithm (MOBChOA) for selecting the feature optimally. Then,
for … and robust optimization algorithm that is capable of finding the global optimal solution in …

… methodology is to accomplish security solutions for IoT-assisted WSNs. To accomplish
this… Binary chimp optimization algorithm with ML based intrusion detection for secure IoT-assisted …

… (CNN) with the Binary Chimp Optimization Algorithm (BCOA) for optimal feature classification.
The … evaluator functions involve constructing feature subsets from fireflies' binary solutions, …

… Classical cyber-security systems defend consumers and devices over Intrusion Detection …
Next, the SAE was integrated with the binary SCCOA technique to create a binary hybrid …

… intrusion detection model based on multi-objective feature selection using a binary whale
optimization algorithm… This paper discusses the existing security procedure and multiple …

… Network security’s primary line of defence is intrusion detection [3]. In addition to protecting
… Energy efficiency is a key design consideration for IoT-assisted WSN nodes since they …

… a DL- IDS for detect security threats in IoT networks. The Spider Monkey Optimization (SMO) …
Every dataset has various symbolic and binary input feature which are changed using label …

… security in WSNs, combining optimisation algorithms and regression modelling for barrier
placement optimisation [2… protecting IoT-assisted WSNs, opening the door for efficient intrusion …

… , ML-based IDS methods, attacks, DL-based IDS, security … The algorithms were applied
to binary classification, … selection algorithm based on random sampling to identify optimal …

… algorithm called BCOA-MLID that combined Binary Chimp Optimization and Machine
Learning techniques for intrusion … to improve the accuracy of intrusion detection. A class-specific …