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Improved Ant Colony Optimization and Machine Learning Based Ensemble Intrusion Detection Model

Intelligent Automation & Soft Computing 2023年第4期36卷 849-864页

作者： S.Vanitha P.Balasubramanie Anna University Chennai600025India Department of Computer Science and Engineering Kongu Engineering CollegeErode638060India

Internet of things(IOT)possess cultural,commercial and social effect in life in the *** nodes which are participating in IOT network are basi-cally attracted by the cyber-attack *** and identiﬁcation of anomalies in IoT infrastructure is a growing problem in the IoT *** Learning Based Ensemble Intrusion Detection(MLEID)method is applied in order to resolve the drawback by minimizing malicious actions in related botnet attacks on Message Queue Telemetry Transport(MQTT)and Hyper-Text Transfer Proto-col(HTTP)*** proposed work has two signiﬁcant contributions which are a selection of features and detection of *** features are chosen from Improved Ant Colony Optimization(IACO)in the feature selection,and then the detection of attacks is carried out based on a combination of their possible *** IACO approach is focused on deﬁning the attacker’s important features against HTTP and *** the IACO algorithm,the constant factor is calculated against HTTP and MQTT based on the mean function for each *** detection,the performance of several machine learning models are Distance Deci-sion Tree(DDT),Adaptive Neuro-Fuzzy Inference System(ANFIS)and Mahala-nobis Distance Support Vector Machine(MDSVM)were compared with predicting accurate attacks on the IoT *** outcomes of these classiﬁers are combined into the ensemble *** proposed MLEID strategy has effec-tively established malicious *** UNSW-NB15 dataset is used to test the MLEID technique using data from simulated IoT ***,the pro-posed MLEID technique has a greater detection rate and an inferior rate of false-positive compared to other conventional techniques.

关键词： Network intrusion detection system(NIDS) internet of things(IOT) ensemble learning statisticalﬂow features botnet ensemble technique improved ant colony optimization(IACO) feature selection

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