A Data Mining Perspective in Privacy Preserving Data Mining Systems

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Provided by: Inpressco
Topic: Big Data
Format: PDF
Privacy Preserving Data Mining (PPDM) presents a novel framework for extracting and deriving information when the data is distributed amongst the multiple parties. The privacy preservation of data and the use of efficient data mining algorithms in PPDM systems is a major issue that exists. Most of the existing PPDM systems employ the cryptographic key exchange process and the key computation process accomplished by means of certain trusted server or a third party. To eliminate the key exchange and key computation overheads this paper discusses the Key Distribution-Less Privacy Preserving Data Mining (KDLPPDM) system.
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