1 / 12

Efficient Pattern Matching Algorithm for Memory Architecture

Efficient Pattern Matching Algorithm for Memory Architecture. Author : Cheng-Hung Lin , Shih- Chieh Chang Publisher : Very Large Scale Integration (VLSI) Systems, IEEE Transactions on.

jensen
Télécharger la présentation

Efficient Pattern Matching Algorithm for Memory Architecture

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Efficient Pattern Matching Algorithmfor Memory Architecture Author : Cheng-Hung Lin , Shih-Chieh Chang Publisher :Very Large Scale Integration (VLSI) Systems, IEEE Transactions on

  2. In order to accommodate the increasing number of attack patterns and meet the throughput requirement of networks, a successful network intrusion detection system must have a memory-efficient pattern-matching algorithm and hardware design.

  3. This paperpresented a memory-efficient pattern matching algorithm which can significantly reduce the number of statesand transitions by merging pseudo-equivalent states while maintaining correctness of string matching. In addition, the new algorithm is complementary to other memory reduction approachesand provides further reductions in memory needs.

  4. 更改 match vector 成 pathVec 與 ifFinal , • define similar states as pseudo-equivalent states • (have identical input transitions, failuretransitions, and ifFinal bit, but different next states.) • Addaregister, called preReg

  5. Example • two patterns, “abcdefghijklm” and “abcwsghidefxyklm.” • label the substrings “abc”, “def”, “ghi”, and “klm” as “α” ”β” ”γ” ”δ” • Pattern become”αβγjδ” and “αwsγβxyδ” • Longest common subsecquence between two patterns are “ αβδ” or ” αγδ” • Calculatelargest sharing gain

More Related