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An Efficient Q-KPABE Framework to Enhance Cloud-Based IoT Security and Privacy

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Abstract

The Key Policy Attribute-based Encryption (KPABE) standard arises as the utmost appropriate security system for public key encipherment. KP-ABE has been extensively utilized to carry out admittance management resolutions. However, because of its pricey operating expense, it’s hard to employ this encipherment standard over networks with limited resources like IoT and IIoT. Fortunately, the cloud must turn into a base framework to accommodate IoT functions; it is fascinating to take advantage of the resources of the cloud to carry out substantial functions related to IoT. We anticipated an effective Quantum KP-ABE framework for cloud-centric IoT apps; in this connection, our proposed approach is centered on using computational storage and power capabilities of cloud-based servers and reliable associate hosts to perform intense functions. A recital evaluation is directed to exhibit the efficacy of the planned framework. The experimental assessment showed that our model's encryption process computation time was 48% faster than existing methods. Memory occupancy efficacy evaluations showed that our approach uses 22% less cloud storage space than conventional standards even with 1 GB of user data. In comparative assessments of enciphered standards, the suggested model's 18% shorter execution time for key generation compared to conventional hash-based standards showed its feasibility for fast cryptographic procedures.

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Authors and Affiliations

  1. Department of Computer Engineering and Technology, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, T.S, 500075, India

    Kranthi Kumar Singamaneni

  2. Department of ECE, Koneru Lakshmaiah Education Foundation, Hyderabad, Telangana, India

    Anil Kumar Budati

  3. Department of Computer Science and Engineering, School of Computing Amaravati, Amrita Vishwa Vidyapeetham, Kuragallu Village, Mangalagiri (M), Guntur, Andhra Pradesh, 522503, India

    Thulasi Bikku

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  1. Kranthi Kumar Singamaneni
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Contributions

KKS—Literature review, methodology proposal, implementation. BAK—Results development. TB—Rough & Main draft preparation.

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Correspondence to Anil Kumar Budati.

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Singamaneni, K.K., Budati, A.K. & Bikku, T. An Efficient Q-KPABE Framework to Enhance Cloud-Based IoT Security and Privacy. Wireless Pers Commun (2024). https://doi.org/10.1007/s11277-024-10908-8

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