Performance Analysis of an Intrusion Detection Systems Based of Artificial Neural Network

A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies

“…Saber et al [ 78 ] proposed an IDS based on ANN. The purpose of the work was to design an optimized neural network with crucial parameters for anomaly detection which was capable of detecting different kinds of attacks.…”

“…In shallow learning ANN, the network consists of one or two hidden layer(s). On the other hand, the network structure of deep learning consists of several hidden layers with various architectures [ 78 ]. Recently, deep learning techniques have become very popular in the area of pattern recognition and network applications.…”

Forensics and Deep Learning Mechanisms for Botnets in Internet of Things: A Survey of Challenges and Solutions

“…Artificial Neural Networks (ANNs) which were inspired by the inner mechanics of the human brain, specifically the underline interconnected networks of neurons, are a type of machine learning technique which convert input data into output by employing non-linear transformations. ANNs can be roughly grouped by the number of layers that make up their architecture (excluding input layer), into textitshallow and deep [97]. Although there exist no strict definitions for them, a shallow ANN typically has one to two layers, while deep ANNs can have hundreds [98].…”