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首页> 外文期刊>International journal of business information systems >Towards a privacy preserving data mining framework - an Indian perspective
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Towards a privacy preserving data mining framework - an Indian perspective

机译:建立保护隐私的数据挖掘框架-印度的观点

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摘要

In the developed countries the concern of using personal information or data of individuals for intrusive or malicious purposes has given rise to the necessity for preserving and protecting the privacy of individuals and consumers from such potential misuse. In developing countries like India the issue of privacy as it is related to individual consumers has not been of much importance. With the recent advances in the field of data mining the concerns regarding privacy have increased because it is now possible to use commonly available data mining software on publicly available data to unearth information about individuals that may be considered private and this is all the more true in developing countries like India. In this paper, we look at the existing privacy policies of some top Indian companies in the telecom, banking and insurance sectors. Privacy preserving data mining (PPDM) is discussed and a framework to apply PPDM methods in chosen domains is suggested.
机译:在发达国家中,出于侵入性或恶意目的使用个人信息或个人数据的担忧引起了保护和保护个人和消费者隐私免遭这种潜在滥用的必要性。在像印度这样的发展中国家,与个人消费者有关的隐私问题并不是很重要。随着数据挖掘领域的最新进展,对隐私的关注日益增加,因为现在可以在可公开获得的数据上使用通用数据挖掘软件来发掘关于个人的信息,这些信息可能被认为是私人的,而在像印度这样的发展中国家。在本文中,我们着眼于电信,银行和保险业中一些顶级印度公司的现有隐私政策。讨论了隐私保护数据挖掘(PPDM),并提出了在所选域中应用PPDM方法的框架。

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