Smart Privacy Preserving and Security Mining Techniques
Pages : 82-85
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Abstract
In recent years privacy preserving data mining has become popular and continuously evolving field of study, preserving privacy and ensuring the security of data has emerged as important issues. Although there are several frameworks and tools to handle such issues, they mostly implement data anonymity techniques. Data mining also opens new threats and challenge to privacy and information security Thus, this paper presents a novel Privacy-Preserving and Security Mining, which focuses on privacy-preserving data mining and data security. It is an open-source data mining library, there are several algorithms in PPDM like: (1) data anonymity, (2) privacy- preserving data mining, and (3) privacy- preserving utility mining. Our Data mining tool has a user- friendly interface that allows running algorithms and displaying the results
Keywords: Privacy-preserving data mining, privacy- preserving utility mining, security, data anonymity