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📢 Call for Papers — Volume 13, Issue 8 (August 2026) | Submission Deadline: August 31, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-4763

biHash: A Private Approach for Data Fusion

Author(s):Ms. Priyanshi Mulwani, Prof. Vijay Shelake
Institution:Department of Computer Engineering, YTCEM, Mumbai, India
Published In:Vol. 7, Issue 12 — December 2020
Page No.:32-37
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

Now-a-days, the huge amount of data is distributed across multiple providers. There is a need to combinesuch scattered data for mining tasks. Thus, data fusion plays an important role in combining records from varioussources However, security is a major concern while performing data fusion. It is thus the concern and responsibility oforganizations and corporate companies to keep the private data of customers secure during data fusion. This paperpresents a private approach for data fusion with biHash algorithm and its analysis with Levenshtein operations andexact method for comparison of records.

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🕮 How to Cite

Ms. Priyanshi Mulwani, Prof. Vijay Shelake, “biHash: A Private Approach for Data Fusion”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 12, pp. 32-37, December 2020.

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Vol. 13 | Issue 8
August 2026