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

  • Shengmin Xu
  • , Xingshuo Han*
  • , Guowen Xu
  • , Jianting Ning
  • , Xinyi Huang
  • , Robert H. Deng
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

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. © 2023 IEEE.
Original languageEnglish
Pages (from-to)776-788
JournalIEEE Transactions on Services Computing
Volume17
Issue number3
Online published2 Oct 2023
DOIs
Publication statusPublished - May 2024

Research Keywords

  • Access control
  • Adaptive security
  • Adaptive systems
  • Cloud computing
  • Data models
  • Encryption
  • fine-grained access control
  • Security
  • Standards
  • verifiable outsourced decryption

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