Abstract—Intrusion detection is a concern for any asset worth protecting. Having the capability to perform such detection can help to prevent the theft of, damage to, tampering with, or destruction of a wide range of valuable assets. These assets could be objects stored within a location such as a vault or room, or they could be an entire building containing valuable objects, a campus consisting of several buildings, or even something as large as a national border. This paper presents a concept for an intrusion detection system based on the use of infrasound, a technology well suited for this purpose due to its ability to distinguish between different types of sound sources occurring within a given area. The paper also includes a discussion of a methodology, based on principles of game theory, for optimizing the resources used in the intrusion detection process.
Index Terms—Applied game theory, infrasound, intrusion detection, resource optimization.
The authors are with the Department of Engineering Systems, Florida Institute of Technology, Melbourne, FL 32901 USA (e-mail: bwebster@fit.edu, warrasmi@fit.edu, lacharya2006@my.fit.edu).
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Cite: Barry Webster, William Arrasmith, and Lok Acharya, "Infrasound-Based Intrusion Detection with Game Theoretic Resource Optimization," International Journal of Modeling and Optimization vol. 4, no. 3, pp. 182-187, 2014.
