CHALLENGES TO MULTI-LAYER FEED FORWARD NEURAL NETWORKS IN INTRUSION DETECTION
Issues in Information Systems · 2016
Today's network intrusion detection system is plagued with working in a dynamic environment.These systems must be able to cope with detecting new and unknown attacks.Current research has shown that the use of anomaly-based multi layered feed forward neural networks can provide help.However, these systems have issues that need to be resolved.These issues involve the architecture and preparation of using these systems in a network.This paper will describe the problems, what has been done to overcome these issues and address any future work needed.