Enhancing intrusion detection systems: Innovative deep learning approaches using CNN, RNN, DBN and autoencoders for robust network security

Today's article comes from the journal of Applied Computer Science. The authors are Hossain et al., from Uttara University, in Bangladesh. In this paper, they make the case that intrusion-detection systems must embrace deep-learning in order to remain relevant and effective.

DOI: 10.35784/acs_6667