Authors: Guoqiang Gao; Ruixuan Li; Zhiyong Xu
Addresses: School of Media and Communication, Wuhan Textile University, Wuhan, Hubei, China ' School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China ' Math and Computer Science Department, Suffolk University, Boston, Massachusetts, USA
Abstract: In order to access sensitive documents shared over government, army and enterprise intranets, users rely on an indexing facility where they can quickly locate relevant documents they are allowed to access: 1) without leaking information about the remaining documents; 2) with a balanced load on the index servers. To address this problem, we propose Mimir, a distributed cipher retrieval system for sensitive documents. Mimir constructs the distributed indexes based on load balanced term distribution for better search efficiency and load balanced query. Mimir utilises encryption with random key, partial key update to protect sensitive data and improve query efficiency. Our experiments show that Mimir can effectively protect secret data and answer queries nearly as fast as an ordinary inverted index.
Keywords: ciphertext retrieval system; index; search; term distribution; encryption.
International Journal of Information and Communication Technology, 2018 Vol.12 No.1/2, pp.209 - 228
Received: 18 Sep 2014
Accepted: 10 May 2015
Published online: 08 Nov 2017 *