Design of Intrusion Detection System Based on Artificial Neural Networks and Application of Rough Set
Securing data in a networked environment has been a major concern for Network Administrator as intruders may get access and steal the information available in the Computer network. As absolute security is not possible in a network, detecting intrusion is very important from the standpoint of protection of the information as well as the network. The paper intends to cover the development of an Intrusion Detection System based on Neural Network Systems. As the Intrusion Detection Systems (IDS) have to depend on known signatures, the authors have to train the IDS about the signatures. KDD99 is a freely available dataset for intrusion signatures and they intend to use KDD99 dataset for both training and testing their IDS.