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OMIBC: optimal modified identity-based cryptography for signcryption and private key extraction using fuzzy model

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Abstract

The technological breakthroughs of Internet of thing (IoT) applications in various sectors are nowadays contributing to the development of smart mobile IoT (SM-IoT). Lack of authentication and encryption schemes make SM-IoT more susceptible to major security and privacy issues. Signcryption has evolved as a new paradigm in recent years that provides better authenticity and security to the messages and minimizes both computation cost and communication costs simultaneously. To secure the communicated message on the sender and receiver sides, this paper proposes an efficient and secure decentralized communication system to offer personalized service for the users. The proposed network framework comprises four key entities namely trusted service providers, gateways, resource senders, and receivers. The master private keys are generated at the initial setup phase. Then, the optimal partial private keys are extracted and broadcasted through the channel by the key extraction process utilizing the fuzzy whale sine cosine levy algorithm. The ciphertext is generated for the sender on signcryption using a modified Identity-based Cryptography approach. The signcryption ciphertext generated is broadcasted via gateways to the receiver by measuring verification parameters. Finally, the designcryption process is performed using the certificateless hybrid signcryption scheme to retrieve the plaintext message. The proposed secure communication network is evaluated using performance metrics such as bilinear pairing time, modular experimentation time, pairing-based experimentation time, elliptic curve (EC) scalar point multiplication time, map-to-point hash function time, and EC point addition time. The experimental results revealed the effectiveness of the proposed secure communication framework on both the sender and receiver sides.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India

    Sumithra Alagarsamy & Vijayalakshmi Nagarajan

  2. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vijayawada, Andhra Pradesh, 522302, India

    M. M. Yamuna Devi

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  1. Sumithra Alagarsamy
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  2. Vijayalakshmi Nagarajan
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  3. M. M. Yamuna Devi
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Correspondence to Sumithra Alagarsamy.

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Alagarsamy, S., Nagarajan, V. & Devi, M.M.Y. OMIBC: optimal modified identity-based cryptography for signcryption and private key extraction using fuzzy model. Wireless Netw (2024). https://doi.org/10.1007/s11276-023-03624-x

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