An Advanced Intrusion Detection Algorithm for Network Traffic Using Convolution Neural Network

A model for multi-attack classification to improve intrusion detection performance using deep learning approaches

“…Min-Joo Kang et al [38] created an effective IDS based on deep neural networks for the security of the in-vehicle network. The probability-based feature vectors are extracted from the network packets using unsupervised deep belief networks, and the conventional stochastic gradient descent method is then used.…”