• DocumentCode
    2248721
  • Title

    Protecting Smart-Grid with Breno-Silva fast single pattern match algorithm for small patterns

  • Author

    Pinto, Breno Silva ; Fung, Chun Che

  • Author_Institution
    Open Inf. Security Found. (OISF), Brasilia, Brazil
  • Volume
    6
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    3219
  • Lastpage
    3224
  • Abstract
    Security of future Electrical power supply and the Smart-Grid will rely on the integrity of the communication network and in particular the Internet. Intrusion Prevention System (IPS) is crucial to guard against malicious and intentional attacks. Network packet search and string processing tasks in high-speed networks are critical for secure IPS performance. Slower algorithms could mean a portion of the packets could have been bypassed and slip through the protective border, which leads to security vulnerability. A novel pattern matching algorithm is proposed in this paper and the new algorithm has worst, best, and average time complexities of O(n + 2m), O(2m), and O(n + m) respectively - when applied for large alphabets - while searching a m bytes pattern on a text of n bytes. Experiments on 256-bytes alphabet |Σ| text files have been conducted to compare the performance of the new algorithm with other alternatives. In all tests, the proposed algorithm has demonstrated an improved performance of at least 50% better on the mentioned alphabet size.
  • Keywords
    Internet; pattern matching; power system protection; power system security; smart power grids; Breno-Silva fast single pattern match algorithm; Internet; electrical power supply; intrusion prevention system; network packet search; security vulnerability; smart-grid protection; string processing tasks; Pattern matching; Network Security; Pattern matching algorithms Intrusion Prevention systems; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580716
  • Filename
    5580716