Privacy preserving technique ECC for secure transmission in field of Data Mining
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 3
Abstract
This paper aims at bring forward Technique on distributed Data Mining as Data mining is used for retrieving intelligent information from enormous databases. Presently these databases are spread across the world. Tried to make a view that preserves the privacy in distributed mining. Approached with distributed data clustering algorithm. Mining algorithms methods and trends in order to discover knowledge from distributed data in accurate way. PPDM research usually uses: data hiding, in which sensitive raw data like identifiers, name, addresses, etc. were altered, blocked, or trimmed out from the original database, at the same time the users of the data not to be able to compromise with other person’s confidentiality; and anther rule hiding, in which sensitive knowledge extracted from the data mining process be excluded for use, because confidential information may be Derived from the released knowledge. This problem is also commonly called the “database inference problem;” and lastly Secure Multiparty Computation (SMC), where distributed data are encrypted before released or shared for computations, Data encryption techniques that used in security.
Authors and Affiliations
M. Mohanrao, Dr. S. Karthik
Keywords
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