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Source location privacy-aware data aggregation scheduling for wireless sensor networks
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Kirton, Jack (2019) Source location privacy-aware data aggregation scheduling for wireless sensor networks. PhD thesis, University of Warwick.
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WRAP_Theses_Kirton_2019.pdf - Submitted Version - Requires a PDF viewer. Download (2078Kb) | Preview |
Official URL: http://webcat.warwick.ac.uk/record=b3491575~S15
Abstract
Source Location Privacy (SLP) is an important property for the class of asset monitoring problems in wireless sensor networks (WSNs). SLP aims to prevent an attacker from finding a valuable asset when a WSN node is broadcasting information due to the detection of the asset. Many different methods of protecting the location of a source have been devised for a variety of attacker models. Most common methods of providing SLP operate at the routing level of the network stack, imposing a high message overhead on the SLP-aware routing protocol.
The objective of this thesis is to investigate the novel problem of utilising TDMA slot assignment schedules at the MAC layer in order to provide SLP. These schedules each give rise to different traffic patterns, manipulation of which can be used to divert an attacker away from the asset. Four main contributions are presented. First, a novel formalisation of a parameterised eavesdropping attacker model is created, allowing for comparison of attackers of different strengths. Second, a genetic algorithm is used to generate TDMA Data Aggregation Scheduling (DAS) schedules that contain a diversionary route that leads the attacker away from the source. Third, a distributed algorithm is created to perform the same task while operating online on a WSN. Finally, another distributed algorithm is presented that provides fault-tolerant guarantees with a minimal drop in performance.
Item Type: | Thesis (PhD) | ||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||
Library of Congress Subject Headings (LCSH): | Wireless sensor networks -- Security measures, Location-based services -- Security measures, Computer network protocols | ||||
Official Date: | September 2019 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | Department of Computer Science | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Jhumka, Arshad, 1974- | ||||
Sponsors: | Engineering and Physical Sciences Research Council | ||||
Format of File: | |||||
Extent: | xii, 116 leaves : illustrations (some colour) | ||||
Language: | eng |
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