Abstract
In the modern medical environment, massive application of electronic health systems has brought us great convenience. At the same time, the large and cumbersome data storage has become easier with the emergence of cloud computing. However, the emergence of shared platforms has also brought many security issues such as data loss and privacy exposures, especially the exposures of sensitive data by illegal users. In this paper we propose an efficient and large universe ciphertext-policy attribute-based encryption (CP-ABE) scheme with black-box traceability for the collaborative eHealth system. It is of a higher efficiency by reducing greatly the cost of encryption and decryption operations. We prove the security of our new scheme under the q-parallel BDHE assumption in the standard model.
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Acknowledgement
The work is supported in part by the Key Lab of Information Network Security of Ministry of Public Security (The Third Research Institute of Ministry of Public Security) under Grant No. C18603, the NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization under Grant No. U1509219, the National Key R&D Program of China under Grant No. 2017YFB0802302, the Shanghai Natural Science Foundation under Grant No. 17ZR1408400, the National Natural Science Foundation of China under Grant Nos. 61601129, 11701179, the Shanghai Science and Technology Commission Program under Grant No. 18511105700, and the Shanghai Sailing Program under Grant No. 17YF1404300.
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Zhao, J., Zeng, P. (2020). Efficient and Large Universe Ciphertext-Policy Attribute-Based Encryption with Black-Box Traceability for eHealth. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_67
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DOI: https://doi.org/10.1007/978-3-030-43309-3_67
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