A novel approach for the design of network intrusion detection system(NIDS)

Though several approaches to detect intrusion have been already proposed, the area of clustering and categorization of packet signatures has potential scope for research. In this paper, we propose a framework for network intrusion detection system which is based on clustering of packet signatures and network analysis. Whenever features of incoming network packet match one of the signatures of intrusion, the system alerts the administrator about the possible threat with details of source of malicious activity and the classification is found to be more than 90% accurate.