In this paper, we propose a novel fuzzy matching data sharing scheme named FADS for cloud-edge communications. FADS allows users to specify their access policies, and enables receivers to obtain the data transmitted by the senders if and only if the two sides meet their defined certain policies simul-taneously. Specifically, we first formalize the defini-tion and security models of fuzzy matching data shar-ing in cloud-edge environments. Then, we construct a concrete instantiation by pairing-based cryptosys-tem and the privacy-preserving set intersection on at-tribute sets from both sides to construct a concurrent matching over the policies. If the matching succeeds, the data can be decrypted. Otherwise, nothing will be revealed. In addition, FADS allows users to dy-namically specify the policy for each time, which is an urgent demand in practice. A thorough security analysis demonstrates that FADS is of provable secu-rity under indistinguishable chosen ciphertext attack (IND-CCA) in random oracle model against proba-bilistic polynomial-time (PPT) adversary, and the de-sirable security properties of privacy and authenticity are achieved. Extensive experiments provide evidence that FADS is with acceptable efficiency.

Chuan Zhang;Mingyang Zhao;Yuhua Xu;Tong Wu;Yanwei Li;Liehuang Zhu;Haotian Wang

School of Cyberspace Science and Technology,Beijing Institute of Technology,Beijing 100081,China;School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China;Yangtze Delta Region Academy of Beijing Institute of Technology,Jiaxing 314019,China;National Computer Network Emergency Response Technical Team/Coordination Center of China,Beijing 100029,China;College of Arts and Science,University of Pennsylvania,Philadelphia 19104,USA

中国通信（英文版）

[1]Chuan Zhang;Mingyang Zhao;Yuhua Xu;Tong Wu;Yanwei Li;Liehuang Zhu;Haotian Wang-.Achieving Fuzzy Matching Data Sharing for Secure Cloud-Edge Communication)[J].中国通信（英文版）,2022(07):257-276

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