Data obfuscation: Anonymity and desensitization of usable data sets
Data obfuscation: Anonymity and desensitization of usable data sets
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DOI：
10.1109/msp.2004.97
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发表时间：
2004-11-01
影响因子：
1.9
通讯作者：
Palmer, TJ
中科院分区：
文献类型：
--
作者：
Bakken, DE;Parameswaran, R;Palmer, TJ
在某些领域，数据隐私和数据共享的需求相互冲突。数据混淆通过扩展几种现有技术并定义量化技术的有用性和隐私保护的混淆属性来解决这个难题。
In some domains, the need for data privacy and data sharing conflict. Data obfuscation addresses this dilemma by extending several existing technologies and defining obfuscation properties that quantify the technologies' usefulness and privacy preservation.