An Adaptive Secure and Practical Data Sharing System With Verifiable Outsourced Decryption

计算机科学 可验证秘密共享 计算机安全 云计算 密码学 可扩展性 访问控制 云安全计算 加密 数据库 操作系统 集合(抽象数据类型) 程序设计语言
作者
Shengmin Xu,Xingshuo Han,Guowen Xu,Jianting Ning,Xinyi Huang,Robert H. Deng
出处
期刊:IEEE Transactions on Services Computing [Institute of Electrical and Electronics Engineers]
卷期号:17 (3): 776-788 被引量:3
标识
DOI:10.1109/tsc.2023.3321314
摘要

Cloud computing is the widespread acceptance of a promising paradigm offering a substantial amount of storage and data services on demand. To preserve data confidentiality, many cryptosystems have been introduced. However, current solutions are incompatible with the resource-constrained end-devices because of a variety of vulnerabilities in terms of practicality and security. In this paper, we propose a practical and secure data-sharing system by introducing a new design of attribute-based encryption with verifiable outsourced decryption (VO-ABE for short). Our system offers: (1) data sharing at a fine-grained level; (2) a scalable key issuing protocol without any secure channel; (3) a verifiable outsourced decryption mechanism for resource-constrained end-devices against the malicious cloud service provider; and (4) adaptive security against the real-world attacks. To formalize our solution with cryptographic analysis, we present the formal definition of VO-ABE and its concrete construction with provable security. In particular, our design leverages the techniques of the traditional ABE, verifiable outsourced decryption, and randomness extractor to support fine-grained access control, cost-effective data sharing, and security assurance with high entropy. Moreover, our design is provably secure in the adaptive model under the standard assumption, which offers a stronger security guarantee since the state-of-the-art solution is selectively secure under the non-standard assumption and suffers from a variety of real-world attacks. The implementation and evaluation demonstrate that our solution enjoys superior functionality and better performance than the relevant solutions. More importantly, our solution is compatible with the resource-constrained end-devices since the decryption mechanism takes around 1.1ms and is 22.7x faster than the state-of-the-art solution.
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