信息系统中的隐私保护

D. Acharjya, G. Mary A
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引用次数: 2

摘要

信息技术革命为决策挖掘的数据收集和生成方式带来了巨大的变化。积累的数据没有任何相关性,除非它提供了与组织利益相关的某些有用信息。真正的挑战在于将高维数据转换为知识,并将这些知识用于组织的发展。另一方面,隐藏组织的敏感信息是一个主要问题。在这个方向上进行了许多研究。本章讨论了在信息系统中可以使用的各种隐私保护技术,以保护组织的敏感信息。本章还重点介绍了从信息系统中生成的敏感模糊关联规则。作者在必要的地方提供了插图,以清楚地了解所开发的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy Preservation in Information System
The information technology revolution has brought drastic change in the way data is collected or generated for decision mining. The accumulated data has no relevance unless it provides certain useful information pertaining to the interest of an organization. The real challenge lies in converting high dimensional data into knowledge and to use this knowledge for the development of the organization. On the other hand, hiding an organization's sensitive information is a major concern. Much research has been carried out in this direction. This chapter discusses various privacy preservation techniques that can be employed in an information system to safeguard the sensitive information of an organization. This chapter also highlights sensitive fuzzy association rules that can be generated from an information system. The authors provide illustrations wherever necessary to give a clear idea of the concepts developed.
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