Efficient Encrypted Data Search With Expressive Queries and Flexible Update

• Published in: IEEE transactions on services computing 2022-05, Vol.15 (3), p.1619-1633
• Main Authors: Ning, Jianting, Chen, Jiageng, Liang, Kaitai, Liu, Joseph K., Su, Chunhua, Wu, Qianhong
• Format: Article
• Language: English
• Subjects: Cloud computing; Complexity; Complexity theory; Cybersecurity; Data management; Data search; efficiency; Encryption; flexible query; Keyword search; Keywords; Outsourcing; Privacy; Public key; Secure data search; Servers; share; update
• ISSN: 1939-1374; 2372-0204
• DOI: 10.1109/TSC.2020.3004988

Outsourcing encrypted data to cloud servers that has become a prevalent trend among Internet users to date. There is a long list of advantages on data outsourcing, such as the reduction cost of local data management. How to securely operate encrypted data (remotely), however, is the top-rank concern over data owner. Liang et al. proposed a novel encrypted cloud-based data share and search system without loss of privacy. The system allows users to flexibly search and share encrypted data as well as updating keyword field. However, the search complexity of the system is of extreme inefficiency, O(n d) O(nd) , where d d is the total number of system files and n n is the size of query formula. This article, for the first time, leverages the "oblivious cross search" technology in public key searchable encryption context to reduce the search complexity to only O(nf(w)) O(nf(w)) , where f(w) f(w) is the number of files embedded with the "least frequent keyword" w w . The new scheme maintains efficient encrypted data share and keyword field update as well. This article further revisits the security models for payload security, keyword privacy and search token privacy (i.e., search pattern privacy) and meanwhile, presen