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Source location privacy-aware data aggregation scheduling for wireless sensor networks
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Kirton, Jack, Bradbury, Matthew S. and Jhumka, Arshad (2017) Source location privacy-aware data aggregation scheduling for wireless sensor networks. In: 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017), Atlanta, GA, 5–8 Jun 2017. Published in: 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) doi:10.1109/ICDCS.2017.171 ISSN 1063-6927.
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Official URL: https://doi.org/10.1109/ICDCS.2017.171
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. Most SLP techniques focus at the routing level, with typically high message overhead. The objective of this paper is to investigate the novel problem of developing a TDMA MAC schedule that can provide SLP. We make a number of important contributions: (i) we develop a novel formalisation of a class of eavesdropping attackers and provide novel formalisations of SLP-aware data aggregation schedules (DAS), (ii) we present a decision procedure to verify whether a DAS schedule is SLP-aware, that returns a counterexample if the schedule is not, similar to model checking, and (iii) we develop a 3-stage distributed algorithm that transforms an initial DAS algorithm into a corresponding SLP-aware schedule against a specific class of eavesdroppers. Our simulation results show that the resulting SLP-aware DAS protocol reduces the capture ratio by 50% at the expense of negligible message overhead.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Wireless sensor networks -- Security measures | ||||||
Journal or Publication Title: | 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) | ||||||
Publisher: | IEEE | ||||||
ISSN: | 1063-6927 | ||||||
Official Date: | 17 July 2017 | ||||||
Dates: |
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DOI: | 10.1109/ICDCS.2017.171 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 6 April 2017 | ||||||
Date of first compliant Open Access: | 11 April 2017 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Atlanta, GA | ||||||
Date(s) of Event: | 5–8 Jun 2017 | ||||||
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