• DocumentCode
    2804779
  • Title

    FUZZBUSTER: Towards Adaptive Immunity from Cyber Threats

  • Author

    Musliner, David J. ; Rye, Jeffrey M. ; Thomsen, Dan ; McDonald, David D. ; Burstein, Mark H. ; Robertson, Paul

  • fYear
    2011
  • fDate
    3-7 Oct. 2011
  • Firstpage
    137
  • Lastpage
    140
  • Abstract
    Today´s computer systems are under relentless attack from cyber attackers armed with sophisticated vulnerability search and exploit development toolkits. To protect against such threats, we are developing FUZZBUSTER, an automated system that provides adaptive immunity against a wide variety of cyber threats. FUZZBUSTER reacts to observed attacks and proactively searches for never-before-seen vulnerabilities. FUZZBUSTER uses a suite of fuzz testing and vulnerability assessment tools to find or verify the existence of vulnerabilities. Then FUZZBUSTER conducts additional tests to characterize the extent of the vulnerability, identifying ways it can be triggered. After characterizing a vulnerability, FUZZBUSTER synthesizes and applies an adaptation to prevent future exploits.
  • Keywords
    computer network reliability; computer network security; FUZZBUSTER; adaptive immunity; automated system; computer system; cyber threats; development toolkit; fuzz testing; never before seen vulnerabilities; sophisticated vulnerability search toolkit; vulnerability assessment tool; Adaptation models; Computer crashes; Generators; Immune system; Security; Software; Testing; adaptive immunity; cyber-security; fuzz-testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems Workshops (SASOW), 2011 Fifth IEEE Conference on
  • Conference_Location
    Ann Arbor, MI
  • Print_ISBN
    978-1-4577-2029-1
  • Type

    conf

  • DOI
    10.1109/SASOW.2011.26
  • Filename
    6114818