The Library
A spatial source location privacy-aware duty cycle for internet of things sensor networks
Tools
Tools
Tools
Bradbury, Matthew S., Jhumka, Arshad and Maple, Carsten (2021) A spatial source location privacy-aware duty cycle for internet of things sensor networks. ACM Transactions on Internet of Things, 2 (1). 4. doi:10.1145/3430379 ISSN 2691-1914.
|
PDF
WRAP-spatial-source-location-privacy-aware-duty-cycle-internet-things-sensor-networks-Maple-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1660Kb) | Preview |
Official URL: https://doi.org/10.1145/3430379
Abstract
Source Location Privacy (SLP) is an important property for monitoring assets in privacy-critical sensor network and Internet of Things applications. Many SLP-aware routing techniques exist, with most striking a tradeoff between SLP and other key metrics such as energy (due to battery power). Typically, the number of messages sent has been used as a proxy for the energy consumed. Existing work (for SLP against a local attacker) does not consider the impact of sleeping via duty cycling to reduce the energy cost of an SLP-aware routing protocol. Therefore, two main challenges exist: (i) how to achieve a low duty cycle without loss of control messages that configure the SLP protocol and (ii) how to achieve high SLP without requiring a long time spent awake. In this article, we present a novel formalisation of a duty cycling protocol as a transformation process. Using derived transformation rules, we present the first duty cycling protocol for an SLP-aware routing protocol for a local eavesdropping attacker. Simulation results on grids demonstrate a duty cycle of 10%, while only increasing the capture ratio of the source by 3 percentage points, and testbed experiments on FlockLab demonstrate an 80% reduction in the average current draw.
| Item Type: | Journal Article | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | |||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
| Library of Congress Subject Headings (LCSH): | Wireless sensor networks -- Security measures, Location-based services -- Security measures, Computer network protocols, Internet of things | |||||||||
| Journal or Publication Title: | ACM Transactions on Internet of Things | |||||||||
| Publisher: | Association for Computing Machinery | |||||||||
| ISSN: | 2691-1914 | |||||||||
| Official Date: | February 2021 | |||||||||
| Dates: |
|
|||||||||
| Volume: | 2 | |||||||||
| Number: | 1 | |||||||||
| Article Number: | 4 | |||||||||
| DOI: | 10.1145/3430379 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Reuse Statement (publisher, data, author rights): | © ACM, 2020 This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Internet of Things, 2(1) 2021 http://doi.acm.org/10.1145/3430379 | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| Date of first compliant deposit: | 23 October 2020 | |||||||||
| Date of first compliant Open Access: | 31 March 2021 | |||||||||
| RIOXX Funder/Project Grant: |
|
|||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
