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Securing Data in IoT-RFID-Based Systems Using Lightweight Cryptography Algorithm

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Advances in Intelligent Computing Techniques and Applications (IRICT 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 211))

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Abstract

Radio Frequency Identification (RFID) technology enables all objects to communicate with IoT systems for its advanced capabilities in automatically identifying, localizing, and controlling access to objects. With RFID’s widespread use and quick development, its privacy and security concerns cannot be disregarded. Many security attacks, including interception, tampering, and replay, may be undertaken against the wireless broadcast channel that connects RFID tags with the reader, leading to issues with privacy violations and forgery. This paper proposes a multi-level lightweight security framework (I-RFLSF) to secure data in IoT-based RFID systems by adopting a lightweight cryptography algorithm to encrypt the data in IoT-based RFID systems depending on the unique identification of each tag. The framework is designed for situations with limited resources to ensure end-to-end data security from the deployment point through data storage. It provides authentication, confidentiality, and integrity services for data flow between the system participants, including the server, IoT devices, the RFID Reader, and the RFID Tag, through three phases: Two-Level Registration, Two-Level Authentication, and securing device data using a lightweight cryptographic algorithm.

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Author information

Authors and Affiliations

  1. Computer Center, University of Mosul, Mosul, Iraq

    Ruah Mouad Alyas AL-Azzawi

  2. Department of Cyber Security, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq

    Sufyan Salim Mahmood AL-Dabbagh

Authors
  1. Ruah Mouad Alyas AL-Azzawi
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  2. Sufyan Salim Mahmood AL-Dabbagh
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Correspondence to Ruah Mouad Alyas AL-Azzawi .

Editor information

Editors and Affiliations

  1. School of Computing and Digital Techn., Birmingham City University, BIRMINGHAM, UK

    Faisal Saeed

  2. Department of Business Analytics, Sunway Business School, Sunway University, Selangor, Malaysia

    Fathey Mohammed

  3. Department of Computer Sciences and Electrical Engineering, Marshall University, Huntington, WV, USA

    Yousef Fazea

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AL-Azzawi, R.M.A., AL-Dabbagh, S.S.M. (2024). Securing Data in IoT-RFID-Based Systems Using Lightweight Cryptography Algorithm. In: Saeed, F., Mohammed, F., Fazea, Y. (eds) Advances in Intelligent Computing Techniques and Applications. IRICT 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-031-59707-7_3

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