Abstract：A sensitive data protection method (SDPM) for web servers in the cloud was proposed to prevent sensitive data leakage from the compromised web servers, which utilizes the features of virtualization and combines the concepts of data encryption and execution isolation. By predetermining and fixing a small amount of application codes that will compute over sensitive data, and by encrypting sensitive data before these data are available to the rest of untrusted codes, the SDPM provides strong defense against all malicious codes that an attacker may run in the server software stack. The SDPM was implemented based on the kernel of Xen Hypervisor and PHP. The results show that the amount of sensitive codes is small with a percentage of less than 2% and the overhead of protecting sensitive data is moderate with a percentage of less than 40% according to six popular web applications in this paper.
韩心慧, 王东祺, 陈兆丰, 张慧琳. 云端Web服务器敏感数据保护方法研究[J]. 清华大学学报（自然科学版）, 2016, 56(1): 51-57,65.
HAN Xinhui, WANG Dongqi, CHEN Zhaofeng, ZHANG Huilin. Method for sensitive data protection of web servers in the cloud. Journal of Tsinghua University(Science and Technology), 2016, 56(1): 51-57,65.
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