A Novel Approach for Privacy Preserving in Data Publishing Using Slicing

Registration ID: IJNRD_202321

Published ID: IJNRD2307392

DOI: http://doi.one/10.1729/Journal.35864

Ajitha c , k.kirubananthavalli

Keywords- Privacy-preserving release of transaction data, anonymity, sequential background knowledge

Several agencies, institutions, bureaus, organizations make (sensitive) data involving people publicly available. However the sensitivity of the real world datasets needs more data privacy, confidentiality, authenticity. It is obvious that the user’s data privacy is being violated by the intruders. So, in order to secure the user’s sensitive data during releases from the intruders, a technique called Slicing is proposed. Several anonymization techniques, such as generalization and bucketization, have been designed for privacy preserving micro data publishing. We show that slicing preserves better data utility than generalization and can be used for membership disclosure protection and it can also handle high-dimensional data. Our workload experiments confirm that slicing preserves better utility than generalization and is more effective than bucketization in workloads involving the sensitive attribute.

Published Paper   E-Certificate

Ajitha c & k.kirubananthavalli (July-2023). A Novel Approach for Privacy Preserving in Data Publishing Using Slicing. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(7), d800-d802. http://doi.one/10.1729/Journal.35864

Volume 8 Issue 7, July-2023

Pages : d800-d802

Paper Reg. ID: IJNRD_202321

Published Paper Id: IJNRD2307392

Downloads: 000121990

Research Area: Computer Engineering 

Country: kovilpatti, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2307392.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307392

Crossref DOI: http://doi.one/10.1729/Journal.35864

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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