面向云计算的同态加密隐私保护方法

A Method on Homomorphic Encryption Privacy-preserving for Cloud Computing

数据安全和隐私保护是云计算面临的安全重大挑战,近年来国内外学者对云计算的安全和隐私保护问题进行了很多研究.同态加密技术可用于安全的云存储和云计算中,但是现有基于公钥密码体制的同态加密技术计算复杂度高,不适用于云计算中用户众多、计算量大且没有可信任云中心的情况.针对这一问题,对同态加密技术进行改进,利用椭圆曲线加密(ECC)算法安全性能好和计算复杂度低的优点,提出基于ECC的同态加密算法,并将该算法用于云存储密文处理和云计算数据聚合隐私保护.通过理论分析和实验数据证明,与现有技术相比,该方法在隐私保护性和计算性能等方面具有其优越性.

A great security challenge to cloud computing is data security and privacy-preserving. In recent years, researchers at home and abroad have done much work on security and privacy-preserving of cloud computing. Homomorphic encryption can be used for se- cure cloud-store and cloud-computing. But current homomorphic encryption techniques based on public-key cryptography with high computing complexity are unsuitable for cloud-computing with a lot of cloud clients,large computing, and without a trustable center. According to this situation,this paper improves performance of homomorphic encryption by presenting ECC homomorphic encryption technique due to ECC＇s performance on better security and less computing-complexity. The paper uses the ECC homomorphic encryp- tion method for cipher-processing in cloud-store and privacy-preserving data aggregation in cloud computing. Based on theory analysis and experiment data, better privacy and computing performance can be achieved, compared to current methods.