An improved bayesian network intrusion detection algorithm based on deep learning
An improved bayesian network intrusion detection algorithm based on deep learning is a scholarly work, published in 2018 in ''Journal of Physics: Conference Series''. The main subjects of the publication include set, convolutional neural network, convolution, artificial intelligence, artificial neural network, machine learning, pattern recognition, Bayesian network, anomaly detection, window, intrusion detection system, computer science, preprocessor, deep learning, data mining, digital forensics, basis, algorithm, and sliding window protocol. Experimental results show that the new algorithm can effectively improve the computational efficiency and the accuracy of intrusion detection.