Privacy Preserving Suppression Algorithm for Anonymous Databases

Journal Title: UNKNOWN - Year 2013, Vol 2, Issue 1

Abstract

Suppose a medical facility connected with a research institution and the researchers can use the medical details of a patient without knowing the personal details. Thus the research data base used by the researchers must be anonymized (Sanitized). We can consider another problem in the area of census. Individuals give the private information to a trusted party (Census Bureau) and the census bureau must publish anonymized or sanitized version of data. So anonymization is done for privacy. Our works deals with privacy in database system.

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  • EP ID EP334231
  • DOI -
  • Views 152
  • Downloads 0

How To Cite

(2013). Privacy Preserving Suppression Algorithm for Anonymous Databases. UNKNOWN, 2(1), -. https://europub.co.uk/articles/-A-334231