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Efficient Minimum-Cost Network Hardening Via Exploit Dependency Graphs
Las Vegas, Nevada December 08-December 12
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSAC.2003.125431319th Annual Computer Security Applica ...
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Steven Noel, George Mason University
Sushil Jajodia, George Mason University
Brian O'Berry, George Mason University
Michael Jacobs, George Mason University
In-depth analysis of network security vulnerability must consider attacker exploits not just in isolation, but also in combination. The general approach to this problem is to compute attack paths (combinations of exploits), from which one can decide whether a given set of network hardening measures guarantees the safety of given critical resources. We go beyond attack paths to compute actual sets of hardening measures (assignments of initial network conditions) that guarantee the safety of given critical resources. Moreover, for given costs associated with individual hardening measures, we compute assignments that minimize overall cost. By doing our minimization at the level of initial conditions rather than exploits, we resolve hardening irrelevancies and redundancies in a way that cannot be done through previously proposed exploit-level approaches. Also, we use an efficient exploit-dependency representation based on monotonic logic that has polynomial complexity, as opposed to many previous attack graph representations having exponential complexity.
Citation:
Steven Noel, Sushil Jajodia, Brian O'Berry, Michael Jacobs, "Efficient Minimum-Cost Network Hardening Via Exploit Dependency Graphs," acsac, pp.86, 19th Annual Computer Security Applications Conference (ACSAC '03), 2003
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