On secure wireless communications for IoT under eavesdropper collusion

Zhang, Yuanyu and Shen, Yulong and Wang, Hua and Yong, Jianming and Jiang, Xiaohong (2016) On secure wireless communications for IoT under eavesdropper collusion. IEEE Transactions on Automation Science and Engineering, 13 (3). pp. 1281-1293. ISSN 1545-5955

Abstract

Wireless communication is one of the key technologies that actualize the Internet of Things (IoT) concept into the real world. Understanding the security performance of wireless communications lays the foundation for the security management of IoT. Eavesdropper collusion represents a significant threat to wireless communication security, while physical-layer security serves as a promising approach to providing a strong form of security guarantee. This paper studies the important secrecy outage performance of wireless communications under eavesdropper collusion, where the physical layer security is adopted to counteract such attack. Based on the classical Probability Theory, we first conduct analysis on the secrecy outage of the simple noncolluding case in which eavesdroppers do not collude and operate independently. For the secrecy outage analysis of the more hazardous M-colluding scenario, where any M eavesdroppers can combine their observations to decode the message, the techniques of Laplace transform, keyhole contour integral, and Cauchy Integral Theorem are jointly adopted to work around the highly cumbersome multifold convolution problem involved in such analysis, such that the related signal-to-interference ratio modeling for all colluding eavesdroppers can be conducted and thus the corresponding secrecy outage probability can be analytically determined. Finally, simulation and numerical results are provided to illustrate our theoretical achievements. An interesting observation suggests that the SOP increases first superlinearly and then sublinearly with M.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 05 Aug 2016 05:56
Last Modified: 24 Jan 2018 01:57
Uncontrolled Keywords: eavesdropper collusion; Internet of Things (IoT); physical layer security; secrecy outage performance; wireless communication
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080612 Interorganisational Information Systems and Web Services
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
Identification Number or DOI: 10.1109/TASE.2015.2497663
URI: http://eprints.usq.edu.au/id/eprint/29555

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