Traceable Cross-Domain Data Sharing With Expressive Keyword Search

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Authors: Qiuyun Tong, Xiyun Yao, Zhe Ren, Yinbin Miao, Xinghua Li, Meng Li, Robert Huijie Deng
Cited by: 0

Abstract

The Internet of Vehicles (IoV) generates massive sensitive perception data, typically managed by manufacturer-specific domains. While encryption with domain-specific parameters protects confidentiality, many IoV applications require secure cross-domain data sharing to access complementary information, and expressive keyword search for efficient access. However, existing Attribute-Based Keyword Search (ABKS) schemes are designed for single-domain settings, and thus cannot address heterogeneous key management or provide traceability without a universally trusted authority. To address these issues, we propose TCroS, a traceable cross-domain data sharing scheme that generalizes CP-ABE via proxy re-encryption mechanism, enabling ciphertexts generated in one domain to be securely transformed for authorized requesters in another. To provide traceability, TCroS embeds requester identities into decryption keys using Boneh-Boyen signatures, allowing any party (rather than the universally trusted authority) to trace the source of a leaked key. We further extend TCroS to TCroSS, which incorporates privacy-preserving expressive keyword search supporting Boolean queries, thereby enabling efficient retrieval of authorized data while resisting keyword guessing attacks. Formal security analysis proves that our schemes achieve IND-SCPA and IND-SCKA security. Experimental results demonstrate their practicality, showing that cross-domain sharing can be realized with computation and storage overheads comparable to single-domain setting.

Fields of Study & Subjects

Cryptography and Data Security Cloud Data Security Solutions Blockchain Technology Applications and Security

Publication details

Journal / source
IEEE Transactions on Dependable and Secure Computing
Volume
23
Issue
3
Pages
7226–7241
Publication date
10 March 2026
Language
EN