ε-inclusion: privacy preserving re-publication of dynamic datasets

This paper presents a novel privacy principle, ε-inclusion, for re-publishing sensitive dynamic datasets. ε-inclusion releases all the quasi-identifier values directly and uses permutation-based method and substitution to anonymize the microdata. Combined with generalization-based methods, ε-inclusion protects privacy and captures a large amount of correlation in the microdata. We develop an effective algorithm for computing anonymized tables that obey the ε-inclusion privacy requirement. Extensive experiments confirm that our solution allows significantly more effective data analysis than generalization-based methods.

DES数据加密算法在计算机通信中的应用

现阶段,我们已步入信息化社会,信息资源在人们的生活中占据着极为重要的位置,所以,保护信息资源十分关键。不管是电子商务系统,或个人信息资源系统,均需要在其展开传输的过程中,使其保密性和安全性得到保证。保密数据是信息安全中极为重要的因素,在信息隐藏的背后,以免不法分子窃听信息资源,将窃听者抓获,从而确保信息资源更加安全和隐蔽,确保人们的基本生活。对此,本文主要对DES数据的加密算在计算机通信中的应用进行了探讨,以供参考。