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Energy Efficient and Secure Scheme Based Compressive Sensing Method for Internet of Vehicles

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2022)

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Abstract

The Compressive Sensing (CS) technique based solutions are increasingly finding application in the field of IoV and WSNs motivated by the benefits of concurrent implementation of lightweight encryption and compression, which offers security and enhancement of WSN lifetime. The CS based solutions still face certain major challenging issues concerned with Key Distribution and Chosen Plain-Text Attacks (CPA). We introduce in this paper, a lightweight framework by instigating a scheme that generates and exchanges the key between the WSN nodes and the BS with the objective of enhancing security and efficiency. It enhances the security by resisting the Chosen Plaintext Attack using the newly introduced algorithm, “Data Compression with Encryption”, which allows the WSN nodes to use a secret value for generating secret compressed samples. Furthermore Mobile Distributed Clustering Algorithm (MDCA) which is based on the use of predicted combined criteria metric is proposed for node clustering. The simulation results using experimentally collected data from real sensors placed at Intel Berkeley Research Lab show that the introduced scheme decrypts data with a small error in case of real user with correct seed, however, the decryption of the same data by an adversary produces the resultant data with considerably larger error. Moreover, the proposed framework succeeds to prolong the WSN lifetime when compared to other encryption algorithms.

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Authors and Affiliations

  1. Tashkent State University of Economics, Tashkent, Uzbekistan

    Ahmed Aziz & Maha Ibrahim

  2. Computer Science Department, Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt

    Ahmed Aziz

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  1. Ahmed Aziz
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  2. Maha Ibrahim
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Correspondence to Ahmed Aziz .

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Editors and Affiliations

  1. Tampere University, Tampere, Finland

    Yevgeni Koucheryavy

  2. Tashkent State University of Economics, Tashkent, Uzbekistan

    Ahmed Aziz

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Aziz, A., Ibrahim, M. (2023). Energy Efficient and Secure Scheme Based Compressive Sensing Method for Internet of Vehicles. In: Koucheryavy, Y., Aziz, A. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2022. Lecture Notes in Computer Science, vol 13772. Springer, Cham. https://doi.org/10.1007/978-3-031-30258-9_23

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  • DOI: https://doi.org/10.1007/978-3-031-30258-9_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30257-2

  • Online ISBN: 978-3-031-30258-9

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