Fine Grained Access Control on Information Retrieval with Collaborative Fusion and Active Feedback
Dinesha L1, Kumaraswamy S2

1Dinesha L, Research Scholar, Computer Science and Engineering, Sri Siddhartha Academy of Higher Education, Tumakuru, India.
2Kumaraswamy S, Professor, Computer Science and Engineering, Sri Siddhartha Institute of Technology, Tumakuru, India.

Manuscript received on 21 August 2019. | Revised Manuscript received on 01 September 2019. | Manuscript published on 30 September 2019. | PP: 1451-1457 | Volume-8 Issue-11, September 2019. | Retrieval Number: J97900881019/2019©BEIESP | DOI: 10.35940/ijitee.J9790.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Enterprise information retrieval is quite challenging than web based information retrieval due to retrieval from heterogeneous distributed data sources and need for higher accuracy in retrieval [17]. In our earlier work, collaborative fusion guided by active feedback is proposed for information retrieval in enterprise environment. Applying three dimensions of user similarity, user-document search history and document similarity, collaborative information fusion based retrieval was proposed in that work However the work did not consider enforcing fine grained access control on the retrieval which is very important requirement in enterprise environment. In this work, fine grained access controlled information retrieval on enterprise environment, with zero leakage assurance thorough direct or inference is proposed. Fine grained access control is ensured with help of CP-ABE. Concept masking is done with CP-ABE and unmasked when user satisfies the query access right criteria.
Keywords: CP-ABE, CR,QC, PS
Scope of the Article: