Analysis of Anomalous Behavior in Network Systems Using Deep Reinforcement Learning with CNN Architecture. (arXiv:2211.16304v1 [cs.CR])

In order to gain access to networks, different types of intrusion attacks
have been designed, and the attackers are working on improving them. Computer
networks have become increasingly important in daily life due to the increasing
reliance on them. In light of this, it is quite evident that algorithms with
high detection accuracy and reliability are needed for various types of
attacks. The purpose of this paper is to develop an intrusion detection system
that is based on deep reinforcement …

analysis architecture cnn network systems