Authors: Prabhat Keshari Samantaray; Navjeet Kaur Randhawa; Swarna Lata Pati
Addresses: Oryid Solutions Pvt Ltd., 320, DLF Cybercity, Patia, Bhubaneswar – 751024, India ' Integrated Test Range, Defence Research and Development Organization, Balasore – 756025, India ' Department of Computer Science and Engineering, College of Engineering and Technology, Ghatikia, Bhubaneswar – 751003, India
Abstract: Cloud-based services increase productivity and reduce infrastructure cost industries which attract researchers and individuals outsource data to the remote cloud servers. However, cloud servers pose several security issues and the most prominent issue is privacy. Although encrypting the data before outsourcing preserves the data privacy, it does not support data usability such as searching with keywords on encrypted data. Searchable symmetric encryption (SSE) is found to be an efficient solution and in this paper, we construct an SSE method which enables search operation on encrypted data and allows various data operations on encrypted data. We perform document clustering and construct index tree-based secure search scheme. The index and queries are constructed with vector space model and are encrypted using secure k-NN computation method. We defined two encrypted searchable schemes based on two security models. We perform thorough experiments to justify the efficiency of the proposed model.
Keywords: encrypted index construction; document clusters; encrypted search; encrypted data operations; searchable encryption; vector encryption.
International Journal of Computational Intelligence Studies, 2019 Vol.8 No.1/2, pp.103 - 121
Received: 05 Mar 2018
Accepted: 16 Aug 2018
Published online: 15 Feb 2019 *