Distributed Protocal For Privacy-Preserving By Applying Proposed K-Anonymizing Approach On Distributed Data Sets

Many Government agencies, business and organizations are willing to collect large amounts of data containing the sensitive information about individuals, such as income, diseases & symptoms also wants to release or share that data to other parties for research work. There is an increasing need for sharing data repositories containing personal information across multiple distributed and private databases. Concretely, given a query spanning multiple databases, query results should not contain individually identifiable information. So anonymization is done in privacy. Our works deal with privacy in database system. To protect sensitivity or confidentiality of shared data, it often needs to be sanitized before it can be distributed and analyzed. A popular and effective method for sanitizing data is called data anonymization.Data anonymization is the process of replacing the contents of identifiable fields (such as IP addresses, usernames, Social Security numbers and zip codes) in a database so records cannot be associated with a specific individual, project or company. There are various anonymization techniques that can be used such as Data encryption, randomization, Department of Computer science Karpagam University, Coimbatore, padmapriya.gokul@gmail.com Department of Computer science Karpagam University, Coimbatore, csresearchhema@gmail.com.etc. It deals with privacy with anonymous database and on devising private update techniques to database systems that supports notions of anonymity.