Dinesha, L. and Pradeep, B. S. and Sharma, Sukhwinder (2023) Fine Grained Access Control on Information Retrieval. In: Research and Developments in Engineering Research Vol. 1. B P International, pp. 23-40. ISBN 978-81-19102-73-0
Full text not available from this repository.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.
Item Type: | Book Section |
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Subjects: | Academic Digital Library > Engineering |
Depositing User: | Unnamed user with email info@academicdigitallibrary.org |
Date Deposited: | 30 Sep 2023 12:59 |
Last Modified: | 30 Sep 2023 12:59 |
URI: | http://publications.article4sub.com/id/eprint/2232 |