Visible to the public An Efficient Multi-User Searchable Encryption Scheme without Query Transformation over Outsourced Encrypted Data

TitleAn Efficient Multi-User Searchable Encryption Scheme without Query Transformation over Outsourced Encrypted Data
Publication TypeConference Paper
Year of Publication2018
AuthorsRao, Deepthi, Kumar, D.V.N. Siva, Thilagam, P. Santhi
Conference Name2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)
ISBN Number978-1-5386-3662-6
Keywordsabe, attribute-based encryption, authorisation, Broadcast Encryption, cloud computing, cloud data, composability, cryptography, Cyber physical system, cyber physical systems, data privacy, document handling, efficient encryption, Encryption, Euclidean distance, existing SE approaches, Indexes, multiple owners, multiuser searchable encryption scheme, outsourced encrypted data, outsourcing, PS, pubcrawl, Public key, query processing, query transformation, repeated encryption, resilience, Resiliency, SE schemes, search operation, secure proxy server approach, Servers, user queries
Abstract

Searchable Encryption (SE) schemes provide security and privacy to the cloud data. The existing SE approaches enable multiple users to perform search operation by using various schemes like Broadcast Encryption (BE), Attribute-Based Encryption (ABE), etc. However, these schemes do not allow multiple users to perform the search operation over the encrypted data of multiple owners. Some SE schemes involve a Proxy Server (PS) that allow multiple users to perform the search operation. However, these approaches incur huge computational burden on PS due to the repeated encryption of the user queries for transformation purpose so as to ensure that users' query is searchable over the encrypted data of multiple owners. Hence, to eliminate this computational burden on PS, this paper proposes a secure proxy server approach that performs the search operation without transforming the user queries. This approach also returns the top-k relevant documents to the user queries by using Euclidean distance similarity approach. Based on the experimental study, this approach is efficient with respect to search time and accuracy.

URLhttps://ieeexplore.ieee.org/document/8328677
DOI10.1109/NTMS.2018.8328677
Citation Keyrao_efficient_2018