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Hybrid Online Protocols for Source Location Privacy in Wireless Sensor Networks

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Hybrid Online Protocols for Source Location Privacy in Wireless Sensor Networks. / Bradbury, Matthew; Jhumka, Arshad; Leeke, Matthew.
In: Journal of Parallel and Distributed Computing, Vol. 115, 31.05.2018, p. 67-81.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Bradbury, M, Jhumka, A & Leeke, M 2018, 'Hybrid Online Protocols for Source Location Privacy in Wireless Sensor Networks', Journal of Parallel and Distributed Computing, vol. 115, pp. 67-81. https://doi.org/10.1016/j.jpdc.2018.01.006

APA

Bradbury, M., Jhumka, A., & Leeke, M. (2018). Hybrid Online Protocols for Source Location Privacy in Wireless Sensor Networks. Journal of Parallel and Distributed Computing, 115, 67-81. https://doi.org/10.1016/j.jpdc.2018.01.006

Vancouver

Bradbury M, Jhumka A, Leeke M. Hybrid Online Protocols for Source Location Privacy in Wireless Sensor Networks. Journal of Parallel and Distributed Computing. 2018 May 31;115:67-81. Epub 2018 Feb 3. doi: 10.1016/j.jpdc.2018.01.006

Author

Bradbury, Matthew ; Jhumka, Arshad ; Leeke, Matthew. / Hybrid Online Protocols for Source Location Privacy in Wireless Sensor Networks. In: Journal of Parallel and Distributed Computing. 2018 ; Vol. 115. pp. 67-81.

Bibtex

@article{8186b4f83d4d45d987c1adf3a2e5ff71,
title = "Hybrid Online Protocols for Source Location Privacy in Wireless Sensor Networks",
abstract = "Wireless sensor networks (WSNs) will form the building blocks of many novel applications such as asset monitoring. These applications will have to guarantee that the location of the occurrence of specific events is kept private from attackers, in what is called the source location privacy (SLP) problem. Fake sources have been used in numerous techniques, however, the solution{\textquoteright}s efficiency is typically achieved by fine-tuning parameters at compile time. This is undesirable as WSN conditions may change. In this paper, we first present an SLP algorithm – Dynamic  – that estimates the relevant parameters at runtime and show that it provides a high level of SLP, albeit at the expense of a high number of messages. To address this, we provide a hybrid online algorithm – DynamicSPR  – that uses directed random walks for the fake sources allocation strategy to reduce energy usage. We perform simulations of the various protocols we present and our results show that DynamicSPR provides a similar level of SLP as when parameters are optimised at compile-time, with a lower number of messages sent.",
keywords = "Wireless sensor networks, Source location privacy, Fake sources, Random walks, Online algorithm",
author = "Matthew Bradbury and Arshad Jhumka and Matthew Leeke",
year = "2018",
month = may,
day = "31",
doi = "10.1016/j.jpdc.2018.01.006",
language = "English",
volume = "115",
pages = "67--81",
journal = "Journal of Parallel and Distributed Computing",
issn = "0743-7315",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - Hybrid Online Protocols for Source Location Privacy in Wireless Sensor Networks

AU - Bradbury, Matthew

AU - Jhumka, Arshad

AU - Leeke, Matthew

PY - 2018/5/31

Y1 - 2018/5/31

N2 - Wireless sensor networks (WSNs) will form the building blocks of many novel applications such as asset monitoring. These applications will have to guarantee that the location of the occurrence of specific events is kept private from attackers, in what is called the source location privacy (SLP) problem. Fake sources have been used in numerous techniques, however, the solution’s efficiency is typically achieved by fine-tuning parameters at compile time. This is undesirable as WSN conditions may change. In this paper, we first present an SLP algorithm – Dynamic  – that estimates the relevant parameters at runtime and show that it provides a high level of SLP, albeit at the expense of a high number of messages. To address this, we provide a hybrid online algorithm – DynamicSPR  – that uses directed random walks for the fake sources allocation strategy to reduce energy usage. We perform simulations of the various protocols we present and our results show that DynamicSPR provides a similar level of SLP as when parameters are optimised at compile-time, with a lower number of messages sent.

AB - Wireless sensor networks (WSNs) will form the building blocks of many novel applications such as asset monitoring. These applications will have to guarantee that the location of the occurrence of specific events is kept private from attackers, in what is called the source location privacy (SLP) problem. Fake sources have been used in numerous techniques, however, the solution’s efficiency is typically achieved by fine-tuning parameters at compile time. This is undesirable as WSN conditions may change. In this paper, we first present an SLP algorithm – Dynamic  – that estimates the relevant parameters at runtime and show that it provides a high level of SLP, albeit at the expense of a high number of messages. To address this, we provide a hybrid online algorithm – DynamicSPR  – that uses directed random walks for the fake sources allocation strategy to reduce energy usage. We perform simulations of the various protocols we present and our results show that DynamicSPR provides a similar level of SLP as when parameters are optimised at compile-time, with a lower number of messages sent.

KW - Wireless sensor networks

KW - Source location privacy

KW - Fake sources

KW - Random walks

KW - Online algorithm

U2 - 10.1016/j.jpdc.2018.01.006

DO - 10.1016/j.jpdc.2018.01.006

M3 - Journal article

VL - 115

SP - 67

EP - 81

JO - Journal of Parallel and Distributed Computing

JF - Journal of Parallel and Distributed Computing

SN - 0743-7315

ER -