Two High-Performance Antenna Selection Schemes for Secure SSK Modulation in Intelligent Industrial Wireless Sensing Systems

Hui Xu, Benjamin K. Ng, Huibin Wang, Boyu Yang, Chan Tong Lam

研究成果: Conference contribution同行評審

摘要

Industrial wireless sensor networks (IWSNs) provide intelligent factory management with a new dimension. Reliable intelligent industrial wireless sensing systems play a vital role in ensuring the reliability and security of IWSNs. Therefore, improving the confidentiality of real-time communication of intelligent industrial wireless sensing systems and making IWSNs more intelligent has attracted widespread attention. This paper proposes two high-performance antenna selection (AS) schemes along with friendly jamming to protect the confidentiality of real-time communication of intelligent industrial wireless sensing systems based on space shift keying (SSK). Additionally, two AS schemes named the generalized Euclidean distance antenna selection (GEDAS) and the leakage-based antenna selection (LBAS) are proposed for maximizing the difference in average mutual information (AMI) between D and E. In this way, the physical layer security (PLS) of the system is further improved. Moreover, the algorithmic complexity of the two proposed AS schemes is thoroughly analyzed in this paper. The simulation results demonstrate that the performance of the proposed joint schemes is superior to the traditional random selection scheme in terms of secrecy rate (SR), secrecy capacity (SC), and bit error rate (BER). Thus, the security enhancement benefits the real-time communication of the intelligent industrial wireless sensing systems and prevents data transmission leakage.

原文English
主出版物標題Big Data Intelligence and Computing - International Conference, DataCom 2022, Proceedings
編輯Ching-Hsien Hsu, Mengwei Xu, Hung Cao, Hojjat Baghban, A. B. Shawkat Ali
發行者Springer Science and Business Media Deutschland GmbH
頁面463-474
頁數12
ISBN(列印)9789819922321
DOIs
出版狀態Published - 2023
事件International Conference on Big Data Intelligence and Computing, DataCom 2022 - Denarau, Fiji
持續時間: 8 12月 202210 12月 2022

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13864 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

ConferenceInternational Conference on Big Data Intelligence and Computing, DataCom 2022
國家/地區Fiji
城市Denarau
期間8/12/2210/12/22

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