Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ress.2010.02.008
Title: Defending simple series and parallel systems with imperfect false targets
Authors: Peng, R.
Levitin, G.
Xie, M. 
Ng, S.H. 
Keywords: Attack
Defense
False targets
Parallel systems
Series systems
Vulnerability
Issue Date: Jun-2010
Source: Peng, R., Levitin, G., Xie, M., Ng, S.H. (2010-06). Defending simple series and parallel systems with imperfect false targets. Reliability Engineering and System Safety 95 (6) : 679-688. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ress.2010.02.008
Abstract: This paper analyzes the optimal distribution of defense resources between protecting the genuine system elements and deploying imperfect false targets (FTs) in simple series and parallel systems. The FTs are not perfect and the attacker can detect a FT with a non-zero probability. Once the attacker has detected certain number of FTs, it ignores them and chooses such number of undetected targets to attack that maximizes the expected damage to the system. The defender decides how many FTs to deploy in order to minimize the expected damage to the system assuming that the attacker uses the most harmful strategy to attack. The expected damage to a series system is proportional to the probability of system destruction. The expected damage to a parallel system can be defined as proportional to the probability that the demand is not met, or as the amount of the unsupplied demand. The paper demonstrates the methodology of analysis of optimal defense strategy as function of different parameters (number of genuine system elements, contest intensity, total attacker's resource). It presents the decision curves that can be used for the making a decision about efficiency of deploying FTs depending on their cost and detection probability. © 2010 Elsevier Ltd. All rights reserved.
Source Title: Reliability Engineering and System Safety
URI: http://scholarbank.nus.edu.sg/handle/10635/63086
ISSN: 09518320
DOI: 10.1016/j.ress.2010.02.008
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