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

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Big Data Intelligence and Computing (DataCom 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13864))

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Abstract

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.

Supported by organization Macao Polytechnic University.

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Authors and Affiliations

  1. Macao Polytechnic University, Macau SAR, Gaomeis Street, Macao, 999078, China

    Hui Xu, Benjamin K. Ng & Chan-Tong Lam

  2. ABB Global Open Innovation Center, Shenzhen, 518000, China

    Huibin Wang

  3. Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Boyu Yang

Authors
  1. Hui Xu
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  2. Benjamin K. Ng
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  3. Huibin Wang
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  4. Boyu Yang
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  5. Chan-Tong Lam
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Corresponding author

Correspondence to Hui Xu .

Editor information

Editors and Affiliations

  1. Asia University, Taichung, Taiwan

    Ching-Hsien Hsu

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Mengwei Xu

  3. University of New Brunswick, Fredericton, NB, Canada

    Hung Cao

  4. Asia University, Taichung, Taiwan

    Hojjat Baghban

  5. University of Fiji, Samabula, Fiji

    A. B. M. Shawkat Ali

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Xu, H., Ng, B.K., Wang, H., Yang, B., Lam, CT. (2023). Two High-Performance Antenna Selection Schemes for Secure SSK Modulation in Intelligent Industrial Wireless Sensing Systems. In: Hsu, CH., Xu, M., Cao, H., Baghban, H., Shawkat Ali, A.B.M. (eds) Big Data Intelligence and Computing. DataCom 2022. Lecture Notes in Computer Science, vol 13864. Springer, Singapore. https://doi.org/10.1007/978-981-99-2233-8_33

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  • DOI: https://doi.org/10.1007/978-981-99-2233-8_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2232-1

  • Online ISBN: 978-981-99-2233-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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