• DocumentCode
    623799
  • Title

    A difference resolution approach to compressing Access Control Lists

  • Author

    Daly, Jonathan ; Liu, Alex X. ; Torng, Eric

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2013
  • fDate
    14-19 April 2013
  • Firstpage
    2040
  • Lastpage
    2048
  • Abstract
    Access Control Lists (ACLs) are the core of many networking and security devices. As new threats and vulnerabilities emerge, ACLs on routers and firewalls are getting larger. Therefore, compressing ACLs is an important problem. In this paper, we propose a new approach, called Diplomat, to ACL compression. The key idea is to transform higher dimensional target patterns into lower dimensional patterns by dividing the original pattern into a series of hyperplanes and then resolving differences between two adjacent hyperplanes by adding rules that specify the differences. This approach is fundamentally different from prior ACL compression algorithms and is shown to be very effective. We implemented Diplomat and conducted side-by-side comparison with the prior Firewall Compressor algorithm on real life classifiers. The experimental results show that Diplomat outperforms Firewall Compressor most of the time, often by a considerable margin. In particular, on our largest ACLs, Diplomat has an average improvement ratio over Firewall Compressor of 30.6%.
  • Keywords
    authorisation; data compression; firewalls; ACL compression algorithm; access control list compression; difference resolution approach; diplomat; firewall compressor; networking device; router; security device; Approximation algorithms; Approximation methods; Color; Dynamic programming; Heuristic algorithms; Merging; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2013 Proceedings IEEE
  • Conference_Location
    Turin
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-5944-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2013.6567005
  • Filename
    6567005