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Title: Comparative Study of Privacy Preservation Techniques in Data Mining

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Title:
Comparative Study of Privacy Preservation Techniques in Data Mining
Author Name:
Avruti Srivastava
Abstract:
Abstract: Extraction of knowledgeable information from large quantities of data and its study is crucial to Data mining. The process of data collection and data dissemination may, however, result in an inherent risk of privacy threats. The privacy-preserving data mining (PPDM) has thus become an important issue. Various methods have come into existence. The methods can be grouped into various categories based on their methodology and working, for example Integer Partitioning Based Encryption (IPBE) is an effective cryptography based method for the same. This method provides a greater amount of protection compared to usual cryptographic techniques as it is not a straight forward public key encryption method.
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