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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tsern-Huei Lee |
| Copyright Year | 2007 |
| Description | Author affiliation: Nat. Chiao Tung Univ., Hsinchu (Tsern-Huei Lee) |
| Abstract | Because of its accuracy, signature matching is considered an important technique in anti-virus/worm applications. Among some famous pattern matching algorithms, the Aho-Corasick (AC) algorithm can match multiple patterns simultaneously and guarantee deterministic performance under all circumstances and thus is widely adopted in various systems, especially when worst-case performance such as wire speed requirement is a design factor. However, the AC algorithm was developed only for strings while virus/worm signatures could be specified by simple regular expressions. In this paper, we generalize the AC algorithm to systematically construct a finite state pattern matching machine which can indicate the ending position in a finite input string for the first occurrence of virus/worm signatures that are specified by strings or simple regular expressions. The regular expressions studied in this paper may contain the following operators: * (match any number of symbols), ? (match any symbol), and {min, max} (match minimum of min, maximum of max symbols), which are defined in ClamAV, a popular open source anti-virus/worm software module, for signature specification. |
| Starting Page | 792 |
| Ending Page | 797 |
| File Size | 337062 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424412501 |
| ISSN | 10952055 |
| DOI | 10.1109/ICCCN.2007.4317914 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pattern matching Automata Doped fiber amplifiers Protocols Algorithm design and analysis Open source software Viruses (medical) Wire Pattern analysis Internet |
| Content Type | Text |
| Resource Type | Article |
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