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Proceedings Paper

Quantification of moving target cyber defenses
Author(s): Katheryn A. Farris; George Cybenko
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Paper Abstract

Current network and information systems are static, making it simple for attackers to maintain an advantage. Adaptive defenses, such as Moving Target Defenses (MTD) have been developed as potential “game-changers” in an effort to increase the attacker’s workload. With many new methods being developed, it is difficult to accurately quantify and compare their overall costs and effectiveness. This paper compares the tradeoffs between current approaches to the quantification of MTDs. We present results from an expert opinion survey on quantifying the overall effectiveness, upfront and operating costs of a select set of MTD techniques. We find that gathering informed scientific opinions can be advantageous for evaluating such new technologies as it offers a more comprehensive assessment. We end by presenting a coarse ordering of a set of MTD techniques from most to least dominant. We found that seven out of 23 methods rank as the more dominant techniques. Five of which are techniques of either address space layout randomization or instruction set randomization. The remaining two techniques are applicable to software and computer platforms. Among the techniques that performed the worst are those primarily aimed at network randomization.

Paper Details

Date Published: 23 May 2015
PDF: 8 pages
Proc. SPIE 9456, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement XIV, 94560L (23 May 2015); doi: 10.1117/12.2182176
Show Author Affiliations
Katheryn A. Farris, Thayer School of Engineering at Dartmouth (United States)
George Cybenko, Thayer School of Engineering at Dartmouth (United States)


Published in SPIE Proceedings Vol. 9456:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement XIV
Edward M. Carapezza, Editor(s)

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