Content area

Abstract

In a wireless sensor network (WSN), sink node/base station (BS) gathers data from surrounding nodes and sends them to a remote server via a gateway. BS holds important data. Therefore, it is necessary to hide its location from an inside/outside attacker. Providing BS location anonymity against a local and global adversary, we propose a novel technique called MimiBS “Mimicking Base-Station”. The key idea is the integration of aggregator nodes (ANs) with sensor nodes (SNs), while fine tuning TTL (time to live) value for fake packets, and setting some threshold value for real packet counter rpctr. MimiBS creates multiple traffic-hotspots (zones), which shifts the focus from BS to the newly created ANs hotspots. Multiple traffic-hotspots confuse the adversary while determining the real BS location information. We defend the BS location information anonymity against traffic analysis attack, and traffic tracing attack. MimiBS gives an illusion of having multiple BSs, and thus, if the attacker knows any about AN, he/she will be deceived between the real BS and ANs. MimiBS outperforms BLAST (base-station location anonymity and security technique), RW (random walk), and SP (shortest path), while conducting routing without fake packets, with fake packets, without energy consideration, and with energy consideration respectively.

Details

Title
MimiBS: Mimicking Base-Station to Provide Location Privacy Protection in Wireless Sensor Networks
Author
Bangash, Yawar Abbas 1 ; Zeng, Ling-Fang 1 ; Feng, Dan 1 

 Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan, China (GRID:grid.33199.31) (ISNI:0000 0004 0368 7223); Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China (GRID:grid.33199.31) (ISNI:0000 0004 0368 7223) 
Pages
991-1007
Publication year
2017
Publication date
Sep 2017
Publisher
Springer Nature B.V.
ISSN
10009000
e-ISSN
18604749
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1940567136
Copyright
© Springer Science+Business Media, LLC & Science Press, China 2017.