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引用次数: 1

摘要

本文是一篇关于数据挖掘的研究报告,数据挖掘是一个被广泛研究的课题,其应用范围包括物联网(IoT)和商业发展等广泛领域。由于私人信息的泄露和隐私的侵犯,数据挖掘技术面临着严峻的挑战。隐私保护数据挖掘与安全(PPDMS)是数据挖掘科学的一个重要分支,也是隐私保护领域的一个重要课题。这个问题在最近得到了极大的关注。PPDMS保护敏感和私人数据在未经提供商或数据所有者许可的情况下不被泄露。本文对PPDMS技术进行了研究。它概述了用于保存数据的安全措施,并比较了这些技术的优点和缺点。本文还提出了改进方法的方法。
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Privacy Preservation Data Mining and Security
The paper is a research report on data mining – a subject which has been studied widely and whose application spans a wide range of field including the Internet of Things (IoT) and business developments. Data mining techniques come along with serious challenges due to the disclosure of private information and violation of privacy. Privacy preservation data mining and security (PPDMS) is a vital branch in the science of data mining and an essential topic in privacy preservation. The subject has gained significant attention in the recent past. PPDMS protects sensitive and private data from being disclosed without permission from the providers or data owners. The paper gives a research report on PPDMS techniques. It outlines security measures employed in preserving data and compares the techniques’ advantages and disadvantages. The paper also suggests better ways to improve the methods.
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