Abstract
Healthcare Internet of Things (HIoT) systems are a step forward in improving the efficiency and quality of patients’ vital information. The HIoT system collects, encrypts, and outsources the patients’ sensitive data over the cloud server for storage and sharing purposes. Pairing-free ciphertext-policy attribute-based encryption (PF-CPABE) is the prominent solution to provide lightweight and fine-grained access control over shared encrypted healthcare data. However, the existing PF-CPABE constructions suffer from one or more limitations, including a key escrow problem and inefficient user revocation while achieving backward and forward secrecy. In this paper, we propose an Escrow and Pairing Free CP-ABE Scheme (EPFCS) with forward and backward secrecy for HIoT. The proposed EPFCS ensures a key escrow-free HIoT system, facilitates the secure distribution of users’ secret keys without using the secure channel in PF-CPABE, and enables efficient user revocation while achieving forward and backward secrecy even in dynamic healthcare scenarios. The security analysis confirms that the proposed EPFCS ensures confidentiality, key escrow freeness, forward and backward secrecy, and resistance against key collusion attacks. Furthermore, the performance analysis demonstrates that the proposed EPFCS is more effective and efficient in aspects of communication and computation costs than the existing schemes.
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Acknowledgements
This research was a part of the project “Design and Analysis of Secure and Efficient Smart Contracts Using Blockchain Technology”. It was partially supported by the SEED Money/Research Grant of the author, Dr. Keyur Parmar, Department of Computer Science and Engineering, S. V. National Institute of Technology (NIT), Surat, India.
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Bhaskar, S., Parmar, K., Jinwala, D.C. (2023). Escrow and Pairing Free CP-ABE Scheme with Forward and Backward Secrecy for Healthcare Internet of Things. In: Muthukkumarasamy, V., Sudarsan, S.D., Shyamasundar, R.K. (eds) Information Systems Security. ICISS 2023. Lecture Notes in Computer Science, vol 14424. Springer, Cham. https://doi.org/10.1007/978-3-031-49099-6_19
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