Two 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.
Subject (authority = RUETD)
Topic
Industrial and Systems Engineering
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5096
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
xi, 129 p. : ill.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Amir Ghafoori
Subject (authority = ETD-LCSH)
Topic
Sonar
Subject (authority = ETD-LCSH)
Topic
Harbors--Security measures
Subject (authority = ETD-LCSH)
Topic
Waterways--Security measures
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
Rutgers University. Graduate School - New Brunswick
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Type
License
Name
Author Agreement License
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