IEEE Transactions on Software Engineering - Special issue on computer security and privacy
Towards a taxonomy of intrusion-detection systems
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on computer network security
Service specific anomaly detection for network intrusion detection
Proceedings of the 2002 ACM symposium on Applied computing
Cryptography and Network Security: Principles and Practice
Cryptography and Network Security: Principles and Practice
Intrusion Detection via Static Analysis
SP '01 Proceedings of the 2001 IEEE Symposium on Security and Privacy
IEEE Security and Privacy
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The explosion in popularity of open systems interconnected via the pubic network and private network has made computer security an issue of increasing concern. In networks there is a major issue to secure the public or private network from suspicious behaviors. This is because each network is made of users, services and computers with a specific behavior that is then reflected in the generated network traffic to detect abnormal user suspicious detection system is used. This paper presents a supervised learning technique which is used to detect various suspicions and abnormal behaviors in the public or private networks. Our technique also detect various behaviors of these hosts using supervised learning methodology.