Repository logo
  • English
  • 中文
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
    Communities & Collections
    Research Outputs
    Fundings & Projects
    People
    Organizations
    Statistics
  • English
  • 中文
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Chung Shan Medical University
  3. Pure學術人才庫轉入
  4. Hierarchical multi-pattern matching algorithm for network content inspection
 
  • Details
Options

Hierarchical multi-pattern matching algorithm for network content inspection

Journal
Information Sciences
Date Issued
2008-07-15
Author(s)
HSIAO-PING LEE  
DOI
10.1016/j.ins.2008.03.006
URI
https://www.scopus.com/pages/publications/43849092515
https://scholars.csmu.edu.tw/handle/123456789/33289
Abstract
Inspection engines that can inspect network content for application-layer information are urgently required. In-depth packet inspection engines, which search the whole packet payload, can identify the interested packets that contain certain patterns. Network equipment then utilizes the searching results from the inspection engines for application-oriented management. The most important technology for fast packet inspection is an efficient multi-pattern matching algorithm to perform exact string matching between packets and a large set of patterns. This paper proposes a novel hierarchical multi-pattern matching algorithm (HMA) for packet inspection. HMA builds hierarchical index tables from the most frequent common-codes, and efficiently reduces the amount of external memory accesses and memory space by two-tier and cluster-wise matching. Analysis and simulation results reveal that HMA performs much better than state-of-the-art matching algorithms. In particular, HMA can update patterns incrementally, thus creating a reliable network system.
Type
journal article
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your Institution's web identity.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback