数据的非加密安全性:基于失真的匿名化技术

K. S. Banu, Dr. V. Santhi, Dr. B. K. Tripathy
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引用次数: 1

摘要

确保敏感数据的隐私正成为政府和企业数据访问政策的重要标准。使用基于非加密的技术为数据提供安全性已经使用了很长时间。它们被用来为健康数据、财务数据等提供安全保障。数据被扭曲使用各种方法来隐藏敏感信息和提供隐私。从统计披露控制到基于失真的技术,一整套方法都在使用中。本文讨论了一种特殊类型的失真方法,数据匿名化的优点和缺点。
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Non-cryptographic security to data: Distortion based anonymization techniques
Ensuring privacy to sensitive data is becoming an important criterion in the data access policies of governments and corporations. Providing security to data using non-cryptographic based techniques has been in use for a long time. They are used to provide security to Health data, finance data and the like. Data are distorted using various approaches to hide sensitive information and provide privacy. A whole line of methods from statistical disclosure control to distortion based techniques are in use. This paper discusses the strengths and drawbacks of a particular type of distortion approach, Data Anonymization.
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