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Fortified End-to-End Location Privacy and Anonymity in Wireless Sensor Networks: a Modular Approach

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dc.contributor.author Abuzneid, Abdelshakour A.
dc.date.accessioned 2015-03-25T15:00:48Z
dc.date.available 2015-03-25T15:00:48Z
dc.date.issued 2015-03-20
dc.identifier.citation A. Abuzneid, "Fortified End-to-End Location Privacy and Anonymity in Wireless Sensor Networks: a Modular Approach", Ph.D. dissertation, Dept. of Computer Science and Engineering, Univ. of Bridgeport, Bridgeport, CT, 2015. en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1089
dc.description.abstract Wireless sensor network (WSN) consists of many hosts called sensors. These sensors can sense a phenomenon (motion, temperature, humidity, average, max, min, etc.) and represent what they sense in a form of data. There are many applications for WSNs; including object tracking and monitoring where in most of the cases these objects need protection. In these applications, data privacy itself might not be as important as the privacy of source location. In addition to the source location privacy, sink location privacy should also be provided. Providing an efficient end-to-end privacy solution would be a challenging task to achieve due to the open nature of the WSN. The key schemes needed for end-to-end location privacy are anonymity, observability, capture likelihood, and safety period. We extend this work to allow for countermeasures against multi-local and global adversaries. We present a network model that is protected against a sophisticated threat model: passive /active and local/multi-local/global attacks. This work provides a solution for end-to-end anonymity and location privacy as well. We will introduce a framework called fortified anonymous communication (FAC) protocol for WSN. en_US
dc.language.iso en_US en_US
dc.subject Anonymity en_US
dc.subject Contextual security en_US
dc.subject Security en_US
dc.subject Sink location privacy en_US
dc.subject Source location privacy en_US
dc.subject Wireless sensor networks (WSN) en_US
dc.subject Engineering en_US
dc.subject Electrical engineering en_US
dc.subject Computer engineering en_US
dc.subject Computer science en_US
dc.title Fortified End-to-End Location Privacy and Anonymity in Wireless Sensor Networks: a Modular Approach en_US
dc.type Thesis en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US


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