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Decision analytics for sonar placement to mitigate maritime security risk
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Ghafoori, Amir. Decision analytics for sonar placement to mitigate maritime security risk. Retrieved from https://doi.org/doi:10.7282/T37S7KTN

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TitleDecision analytics for sonar placement to mitigate maritime security risk
NameGhafoori, Amir (author); Luxhoj, James (chair); Albin, Susan (co-chair); Jeong, Myong K. (internal member); Wang, Honggang (internal member); Boros, Endre (outside member); Rutgers University; Graduate School - New Brunswick
Date Created2013
Other Date2013-10 (degree)
SubjectIndustrial and Systems Engineering, Sonar, Harbors--Security measures, Waterways--Security measures
Extentxi, 129 p. : ill.
DescriptionTwo optimization methodologies are proposed for sonar placement in ports and waterways to keep the environment under surveillance against security threats. The optimization models are named Probabilistic Risk Model (PRM) and Strategic Risk Model (SRM). The PRM resembles a typical sensor placement problem in the sense that they share some constraints and a similar objective function, yet the PRM integrates a number of features that are specific to our problem. The SRM is a game theoretic model that takes the intelligent actions of the attackers into account. This study focuses on the attacks that are initiated through the water and are targeting the infrastructures at a port or a waterway. The sonars are placed under the water. They are utilized to detect anomalies such as divers, torpedoes or explosives mounted on the hull of vessels that can be potential sources of a terrorist attack. The proposed models are grid based meaning that a hypothetical two dimensional grid of cells is placed on the environment to discretize it. This process allows us to measure various specifics of different sections of the environment via cells. The contribution of this study to the literature of maritime security risk is that it is the first study that models the sonar placement problem via game theory in ports and waterways. Moreover, both models address a number of key concepts of sensor placement which are mostly ignored in the literature. The SRM’s advantage over PRM is the integration of the attacker’s intelligent factor into the modeling effort. SRM allows the attacker to be intelligent. This approach is translated to a two player game where the opponents seek to maximize their own payoffs. Various models of this two player game are discussed and modeled. The last model which is a general-sum two player game is the most general model and is capable of integrating real world assumptions.
NotePh.D.
NoteIncludes bibliographical references
Noteby Amir Ghafoori
Genretheses, ETD doctoral
Persistent URLhttps://doi.org/doi:10.7282/T37S7KTN
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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