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
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