Privacy protection is an important research direction of information security. In order to improve the privacy pro-tection capability,an enhanced personalized anonymous privacy protection model based on elliptic curve homomorphic encryp-tion is proposed. The K-anonymous encoding method is adopted to design the privacy protection information encoding and con-struct the encryption key. Combined with the piecewise linear chaotic mapping method,arithmetic coding of privacy protection model is designed. The elliptic curve homomorphic encryption algorithm is used for the enhanced design of personalized anony-mous privacy protection to improve the depth of information encryption and achieve privacy protection optimization. The simula-tion results show that the method for privacy protection information encryption has a strong attack resistance capability and can reduce the risk of information leakage.

目前多数隐私保护匿名模型不能满足面向敏感属性值的个性化保护需求,也未考虑敏感属性值的分布情况,易受相似性攻击。为此,提出基于敏感度的个性化(α,l)-匿名模型,通过为敏感属性值设置敏感度,并定义等敏感度组的概念,对等价类中各等敏感度组设置不同的出现频率,满足匿名隐私保护的个性化需求。通过限制等价类中同一敏感度的敏感属性值出现的总频率,控制敏感属性值的分布,防止相似性攻击。提出一种基于聚类的个性化(α,l)-匿名算法,实现匿名化处理。实验结果表明,该算法能以与其他l-多样性匿名模型近似的信息损失量和时间代价,提供更好的隐私保护。

Based on B/S structure and a large-scaled network database technology and taking how to implement logistics cost management and control system of a certain process enterprise as the goal, the paper analyzes the prototype system of forecasting cost in equipment maintenance to get the implementing process.

本文主要针对电子商务中交易双方所面临的各种风险,从技术角度探讨了电子商务所涉及的安全机制以及值得关注的几个安全问题.