| Publisher | University of California | ||
|---|---|---|---|
| Format | 79.5KB PDF | Date added | 10 Dec 2003 |
| Topics | Network Security, Security Tools, Intrusion Detection Systems | ||
| Downloads | 111 | ||
Intrusion Detection Systems (IDSs) have become widely recognized as powerful tools for identifying, deterring and deflecting malicious attacks over the network. Essential to almost every intrusion detection system is the ability to search through packets and identify content that matches known attacks. Space and time efficient string matching algorithms are therefore important for identifying these packets at line rate. This paper examines string matching algorithms and their use for Intrusion Detection. In particular, the paper focuses the efforts on providing worst-case performance that is amenable to hardware implementation. The paper contributes modifications to the Aho-Corasick string-matching algorithm that drastically reduce the amount of memory required and improve its performance on hardware implementations.
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