| Publisher | University of Michigan | ||
|---|---|---|---|
| Format | 224.8KB PDF | Date added | 03 Jul 2006 |
| Topics | Network Security, Security Tools, Intrusion Detection Systems | ||
| Downloads | 4 | ||
Intrusion detection and prevention systems have become essential to the protection of critical networks across the Internet. Widely deployed IDS and IPS systems are based around a database of known malicious signatures. This database is growing quickly while at the same time the signatures are getting more complex. These trends place additional performance requirements on the rule-matching engine inside IDSs and IPSs, which check each signature against an incoming packet. Existing approaches to signature evaluation apply statically-defined optimizations that do not take into account the network in which the IDS or IPS is deployed or the characteristics of the signature database.
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