Throttling Viruses: Restricting propagation to defeat malicious mobile code
ACSAC '02 Proceedings of the 18th Annual Computer Security Applications Conference
Proceedings of the 2003 ACM workshop on Rapid malcode
Implementing and testing a virus throttle
SSYM'03 Proceedings of the 12th conference on USENIX Security Symposium - Volume 12
An artificial intelligence membrane to detect network intrusion
Artificial Life and Robotics
Towards an immunity-based anomaly detection system for network traffic
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Towards an immunity-based anomaly detection system for network traffic
International Journal of Knowledge-based and Intelligent Engineering Systems
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We propose a new filter for preventing computer worms from spreading. The new worm filter limits the number of unacknowledged requests, rather than the rate of connections to new computers. Normal network traffic is analyzed to determine appropriate parameters for the worm filter. Performance evaluation showed that the worm filter stops not only high-speed worms in the wild, but also simulated slow-speed worms. Finally, the weaknesses of the worm filter is discussed.