Title: Mimir: a term-distributed retrieval system for secret documents

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.

DOI: 10.1504/IJICT.2018.089024

International Journal of Information and Communication Technology, 2018 Vol.12 No.1/2, pp.209 - 228

Available online: 08 Nov 2017 *

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