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An investigating study of blind and ID-based signcryption schemes for misuse risk protection and high performance computing

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Abstract

The risks of misusing new and developing technology are increasing on a daily basis. In these technologies, electronic communication (e-communication) anonymously delivers sensitive information. It is a challenging task in e-communication to conceal the identity of the original users and preserve misuse risk protection (i.e., security and privacy) with low computations. On the other hand, anonymous communication may be detrimental. For security and privacy maintenance, we use the concept of Misuse Risk Protection (MRP) for low computations and High-Performance Computing (HPC). To overcome these challenges, the researchers use the concept of blind signature, blind singcryption and ID-based signcryption for e-communication environments. We analyzed blind and ID-based signcryption schemes and their security hardness, which is based on different Discrete Logarithm Problems (DLP) such as Elliptic Curve DLP (ECDLP), Hyperelliptic Curve DLP (HECDLP), and bilinear pairing etc. In this paper, we also investigated that the proposed schemes attain the desired MRP features, HPC (e.g., low computation and communication overheads) than the existing schemes, which makes the newly proposed scheme more suitable for low-power environments. Finally, all schemes with small key sizes provide low computation and communication overhead. Due to low computation and communication overheads, it is considered efficient.

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Authors and Affiliations

  1. Knowledge Unit of Systems and Technology, University of Management and Technology, Sialkot, 51040, Pakistan

    Shamsher Ullah

  2. School of Software, Northwestern Polytechnical University, Shanxi, 710072, People’s Republic of China

    Zheng Jiangbin

  3. Department of Mathematics, University of Management and Technology, Lahore, 54770, Pakistan

    Muhammad Tanveer Hussain

  4. School of Computer Science and Technology, University of Science and Technology of China, Hefei, 230026, People’s Republic of China

    Muhammad Wasif Sardar

  5. Department of Electronics and Electrical Engineering, Southern University of Science and Technology, Shenzhen, 518000, People’s Republic of China

    Muhammad Umar Farooq

  6. School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518000, People’s Republic of China

    Salabat Khan

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  1. Shamsher Ullah
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  4. Muhammad Wasif Sardar
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  5. Muhammad Umar Farooq
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  6. Salabat Khan
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Ullah, S., Jiangbin, Z., Hussain, M.T. et al. An investigating study of blind and ID-based signcryption schemes for misuse risk protection and high performance computing. Cluster Comput 27, 721–735 (2024). https://doi.org/10.1007/s10586-023-03969-0

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