… , and implementing security technology on IoMT … particle swarm optimization deep neural
network (PSO-DNN) for implementing an effective and accurate intrusion detection system in …

… proposed a work on intrusion detection system in which single machine learning classifier
(K… that the ensemble classifier strategy outperforms single machine learning techniques, with a …

… tasks, some of these methods include; Machine learning based, Hybrid ANN based and/or …
, hierarchical hybrid intelligent system models, and ensemble learning approaches all of …

… hits for detecting intrusion is an intrusion detection system (IDS) … a large number of Intrusion
Detection Systems intruders are still … strategies is Deep Learning. So, integrating these two …

… This has motivated studies that focus on the anomaly-based machine learning for IDS [10].
The performance of IDS is improved by the incorporation of machine learning (ML) [11-12], …

… the different IDS metrics. The particle swarm optimization (PSO) algorithm was applied on
the … We have used the following machine learning classifiers for the analysis of training and …

… detection algorithm can greatly improve the detection accuracy of abnormal traffic. In [20],
the LSTM model is proposed as a deep learning method … to perform anomaly detection task. …

… a few approaches use … swarm optimization technique to get the most relevant feature
combinations. We are getting better results by feeding these features to our proposed deep learning…

… The selection of these machine learning classifiers is based on an extensive review of the
existing machine learning method used in IDS. The review reveals that the SVM and decision …

… a double Particle Swarm Optimization (PSO)-based algorithm … The aforementioned algorithm
is exploited in the pre-training … the detection of attacks as well as operate detection systems …