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Artificial Intelligence in IoT pp 25–44Cite as

Improving the Physical Layer Security of IoT-5G Systems

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Abstract

Ensuring the security of the Internet of Things (IoT) is deemed as one of the most critical challenges and needs that have to be addressed in order to guarantee the successful deployment of IoT in emerging technologies like 5G. In an effort to address this challenge, in this work, an improved and flexible physical layer security technique, referred to as orthogonal frequency-division multiplexing with subcarrier index selection and artificially interfering signals (OFDM-SIS-AIS), is developed for protecting the transmission of OFDM-based waveforms against eavesdropping in 5G and beyond wireless networks. In this technique, the frequency response of correlated subchannels is first converted into a completely randomized and independent response by means of adaptive interleaving. Then, the whole OFDM block is divided into small subblocks, each containing a set of subcarriers, from which a subset of these subcarriers, which are corresponding to high subchannel gains, are selected and used for data transmission, while the remaining ones, which are corresponding to low subchannel gains, are used for sending artificially interfering signals. The selected subcarriers are determined through an optimization problem that can effectively maximize the signal-to-noise ratio (SNR) at only the legitimate receiver. The obtained results demonstrate a significant improvement in the secrecy gap performance without considering the knowledge of the eavesdropper’s channel nor sharing any keys while maintaining low complexity and high reliability at the legitimate user. These numerous advantages have the potential to make the proposed scheme a consistent candidate technique for secure IoT-5G based services.

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Notes

  1. 1.

    Remark: If Eve is assumed to be not aware of the used security technique, Eve may think and assume that this is a normal received OFDM signal since the structure of the interference subcarriers is the same as that of the data, i.e., there is no distinctive features between the subcarriers carrying data from that carrying interference at the receiving side with respect to Eve. Hence, Eve will try to decode the whole OFDM symbol as in usual cases without considering the fact that there are subcarriers that are filled with interference. In this case, the analysis will give worse results compared to the abovementioned cases.

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Authors and Affiliations

  1. Department of Electrical-Electronics Engineering, Antalya International (Bilim) University, Antalya, Turkey

    Jehad M. Hamamreh

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  1. Jehad M. Hamamreh
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Correspondence to Jehad M. Hamamreh .

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  1. Computer Engineering Department, Antalya Bilim University, Antalya, Turkey

    Fadi Al-Turjman

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Hamamreh, J.M. (2019). Improving the Physical Layer Security of IoT-5G Systems. In: Al-Turjman, F. (eds) Artificial Intelligence in IoT. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-04110-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-04110-6_2

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