Fine Grained Access Control on Information Retrieval

Abstract

Enterprise information retrieval is more difficult than web-based information retrieval due to retrieval from heterogeneous distributed data sources and the need for higher retrieval accuracy [1]. In [2], collaborative fusion (CF) guided by active feedback (AF) is proposed for information retrieval in enterprise environment. However, this work did not take into account enforcing fine-grained access control on retrieval, which is a critical requirement in an enterprise environment. This paper proposes fine-grained access controlled information retrieval in an enterprise environment with zero leakage assurance via direct or inference. Concept masking using CP-ABE is done to ensure fine grained access control. The precision of search results has increased due to fine-grained access control.