A Probabilistic Source Location Privacy Protection Scheme in Wireless Sensor Networks

Hao Wang; Guangjie Han; Wenbo Zhang; Mohsen Guizani; Sammy Chan

doi:10.1109/TVT.2019.2909505

A Probabilistic Source Location Privacy Protection Scheme in Wireless Sensor Networks

Hao Wang
, Guangjie Han^*
, Wenbo Zhang
, Mohsen Guizani
, Sammy Chan

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

44 Citations (Scopus)

Abstract

With the recent developments of wireless sensor networks (WSNs), computing and communication have experienced huge advancement. Meanwhile, security has not received the same attention to go along with such developments. In this paper, we focus on the source location privacy problem in WSNs, a hot research topic in security, and propose a probabilistic source location privacy (PSLP) protection scheme for WSNs. A more powerful adversary, which can use hidden Markov model to estimate the state of the source, is considered in this study. To cope with this type of adversary, phantom nodes and fake sources, which are responsible to mimic the behavior of the source, are utilized to diversify the routing path. Then, the weight of each node is calculated as a criterion to select the next-hop candidate. In addition, two transmission modes are designed to transmit real packets. The simulation results demonstrate that the proposed PSLP scheme improves the safety time without compromising the energy consumption.

Original language	English
Article number	8682107
Pages (from-to)	5917-5927
Journal	IEEE Transactions on Vehicular Technology
Volume	68
Issue number	6
Online published	9 Apr 2019
DOIs	https://doi.org/10.1109/TVT.2019.2909505
Publication status	Published - Jun 2019

Funding

Manuscript received December 30, 2018; revised March 27, 2019; accepted March 31, 2019. Date of publication April 9, 2019; date of current version June 18, 2019. This work was supported in part by the National Key Research and Development Program, YS2017YFGH001945, in part by the National Natural Science Foundation of China-Guangdong Joint Fund under Grant U1801264, and in part by the Six talent peaks project in Jiangsu Province, XYDXXJS-007. The review of this paper was coordinated by Prof. J. Li. (Corresponding author: Guangjie Han.) H. Wang and G. Han are with the Department of Internet of Things Engineering, Hohai University, Changzhou 213022, China (e-mail:,wanghaohhu@ outlook.com; [email protected]).

Research Keywords

fake source
phantom node
source location privacy
Wireless sensor networks

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title = "A Probabilistic Source Location Privacy Protection Scheme in Wireless Sensor Networks",

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AB - With the recent developments of wireless sensor networks (WSNs), computing and communication have experienced huge advancement. Meanwhile, security has not received the same attention to go along with such developments. In this paper, we focus on the source location privacy problem in WSNs, a hot research topic in security, and propose a probabilistic source location privacy (PSLP) protection scheme for WSNs. A more powerful adversary, which can use hidden Markov model to estimate the state of the source, is considered in this study. To cope with this type of adversary, phantom nodes and fake sources, which are responsible to mimic the behavior of the source, are utilized to diversify the routing path. Then, the weight of each node is calculated as a criterion to select the next-hop candidate. In addition, two transmission modes are designed to transmit real packets. The simulation results demonstrate that the proposed PSLP scheme improves the safety time without compromising the energy consumption.

KW - fake source

KW - phantom node

KW - source location privacy

KW - Wireless sensor networks

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A Probabilistic Source Location Privacy Protection Scheme in Wireless Sensor Networks

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