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An Efficient and Scalable Pattern Matching Scheme for Network Security Applications

An Efficient and Scalable Pattern Matching Scheme for Network Security Applications. Authors: Tsern-Huei Lee; Nai-Lun Huang Publisher: Computer Communications and Networks, 2008. ICCCN '08. Proceedings of 17th International Conference on 3-7 Aug. 2008 Page(s)1 - 7 Present: Chia-Ming ,Chang

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An Efficient and Scalable Pattern Matching Scheme for Network Security Applications

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  1. An Efficient and Scalable Pattern Matching Scheme for Network Security Applications Authors:Tsern-Huei Lee; Nai-Lun Huang Publisher:Computer Communications and Networks, 2008. ICCCN '08. Proceedings of 17th International Conference on 3-7 Aug. 2008 Page(s)1 - 7 Present:Chia-Ming ,Chang Date:3, 4, 2009 Department of Computer Science and Information Engineering National Cheng Kung University, Taiwan R.O.C. 1

  2. Outline • 1. Introduction • 2. Architecture • 3. Experimental results • 4. Conclusion 2

  3. Introduction (1/3) 3

  4. Introduction (2/3) 4

  5. Introduction (3/3) 5

  6. Outline • 1. Introduction • 2. Architecture • 3. Experimental results • 4. Conclusion 6

  7. Architecture (1/3) Σ= {a, b, c, d, e, f, g, h} Σ are sequentially encoded as 0, 1, 2, 3, 4, 5,6 and 7 Y= {abcda (0), abba (1), cda (2),cabc (3)}. 7

  8. Architecture (2/3) 8

  9. Architecture (3/3) 9

  10. Outline • 1. Introduction • 2. Architecture • 3. Experimental results • 4. Conclusion 10

  11. Experimental results(1/3) 11

  12. Experimental results(2/3) 12

  13. Experimental results(3/3) 13

  14. Outline • 1. Introduction • 2. Architecture • 3. Experimental results • 4. Conclusion 14

  15. Conclusion (1/1) • we first present an idea to improve the throughput performance of the banded-row format AC and then propose a scalable implementation of the Aho-Corasick pattern matching algorithm. • our proposed implementation achieves 39.7% reduction in memory requirement for 5,000 pattern strings randomly selected from ClamAV signatures and 16.1% reduction in processing time on the average for scanning various types of files. 15

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