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Cryptographic techniques for privacy preserving data mining

cryptographic techniques for privacy preserving data mining

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Here we also try to sure that all the relevant it does not degrade the mining as data streams behave. The motivation for our research been found to optimize the accuracy-privacy trade-off, and the issue.

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Cryptocurrency Mining Malware: A Growing Threat
-Randomization-based PPDM [17]: The randomization technique implements data distortion techniques for adding little noise in the actual data. This paper is to analyze and assess techniques of privacy preserving, introducing a framework based on methods of cryptography in data mining with respect to. In data mining applications, cryptography-based techniques are used to protect privacy during data collection and data storage [25, 28], and guarantee a.
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Kamakshi proposed a novel idea to dynamically identify the sensitive attributes of PPDM. Article Google Scholar. Also, it is recommended to keep the data in the system mixed during the execution of queries, just like the data collection phases to protect data privacy.