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Sensors 2017, 17(2), 289; doi:10.3390/s17020289

A Novel Physical Layer Assisted Authentication Scheme for Mobile Wireless Sensor Networks

School of Cyberspace, Hangzhou Dianzi University, Hangzhou 310018, China
Academic Editors: Subhas Chandra Mukhopadhyay, Hemant Ghayvat and Nagender Kumar Suryadevara
Received: 22 November 2016 / Revised: 25 January 2017 / Accepted: 26 January 2017 / Published: 4 February 2017
(This article belongs to the Special Issue Sensors for Home Automation and Security)
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Abstract

Physical-layer authentication can address physical layer vulnerabilities and security threats in wireless sensor networks, and has been considered as an effective complementary enhancement to existing upper-layer authentication mechanisms. In this paper, to advance the existing research and improve the authentication performance, we propose a novel physical layer assisted authentication scheme for mobile wireless sensor networks. In our proposed scheme, we explore the reciprocity and spatial uncorrelation of the wireless channel to verify the identities of involved transmitting users and decide whether all data frames are from the same sender. In our proposed scheme, a new method is developed for the legitimate users to compare their received signal strength (RSS) records, which avoids the information from being disclosed to the adversary. Our proposed scheme can detect the spoofing attack even in a high dynamic environment. We evaluate our scheme through experiments under indoor and outdoor environments. Experiment results show that our proposed scheme is more efficient and achieves a higher detection rate as well as keeping a lower false alarm rate. View Full-Text
Keywords: wireless sensor networks; physical layer authentication; channel reciprocity; spatial uncorrelation; hypothesis testing wireless sensor networks; physical layer authentication; channel reciprocity; spatial uncorrelation; hypothesis testing
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Wang, Q. A Novel Physical Layer Assisted Authentication Scheme for Mobile Wireless Sensor Networks. Sensors 2017, 17, 289.

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