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Springer briefs in electrical and computer engineering

Secrecy-Enhancing Channel Estimation in Multi-Antenna Wireless Systems

Y.-W. Peter Hong, Pang-Chang Lan, C.‐C. Jay Kuo

Published Sep 26, 2013• 0 citations
Publisher
DOI
10.1007/978-981-4560-14-6_5

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This paper focuses on the problem of secure transmission in wireless communication, especially in the physical layer. In Cyber-Physical systems, interconnected devices under wireless environments facilitate information exchange but challenge network security. In order to proliferate secrecy, with the assumption of channel reciprocity, the legitimate users share the same channel which is independent of the channels between the legitimate users and the eavesdropper. It is because of the broadcast nature of the wireless medium makes it vulnerable to two types of major attacks denial of service, and information leakage. Here the security may decrease due to the correlation between the generated secret bits. To address these challenges, this framework includes two multi-antenna legitimate parties and a multi-antenna eavesdropper node. In order to maximize the secrecy rate, interleaver along with jointly optimized transmit filter and multi secrecy techniques are used at transmitting section. Optimum receive filter and Equalization technique are used at the receiver section. At last, this paper provides channel estimation errors and self-interference implemented for both duplex systems. So combining with them is a kind of key technology in future physical layer wireless communication.
Reliability and security are the main concerns in modern industrial wireless sensing systems because of the nature property of the industrial wireless sensing environment. Therefore, how to enhance the secrecy and make the industrial wireless sensing systems smart attract a lot of attention. In order to address the secrecy problem in industrial wireless sensing systems, this article proposes a secrecy enhancement mechanism based on space shift keying (SSK) communication in industrial wireless sensing systems where a transmitting node, a receiving node, and an eavesdropper are considered. To prevent the valid information from being attacked by the eavesdropper, the technologies of antenna selection (AS) and the artificial noise (AN) are jointly used in the proposed scheme to enhance the physical layer security (PLS). Eventually, the designed AN is canceled at the receiving node and remains at the eavesdropper. In addition, two kinds of AS methods, namely, signal-to-leakage-noise ratio (SLNR)-based method and Euclidean distance AS (EDAS)-based method are proposed for the proposed secrecy enhancement scheme. Specifically, the SLNR and EDAS methods are designed for the known eavesdropper channel case and the unknown eavesdropper channel case, respectively. Moreover, to make the scenario practical, the channel estimation error is fully considered in the sensing data transmission stage since the perfect channel state information (CSI) is rarely available in the actual sensing environment. The results from simulations demonstrate that the proposed scheme can enhance the system performances of secrecy rate (SR) and bit error rate (BER) when compared with the traditional random selection method.