个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:计算机应用技术
办公地点:大连理工大学软件学院综合楼205
联系方式:david@dlut.edu.cn
电子邮箱:david@dlut.edu.cn
A security scheme of big data identity for cloud environment
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论文类型:会议论文
发表时间:2017-12-12
收录刊物:EI
卷号:10658 LNCS
页面范围:497-506
摘要:Nowadays, the security and privacy protection of Big Data have faced with severe challenges, especially on cloud environment with insecure channel. To address this issue, this paper proposes a security scheme of Big Data identity (SSBDI) for cloud environment, which can guarantee the security of Big Data transmission in the insecure channel. In SSBDI, firstly, linear congruential generator (LCG) based encryption matrixes and Vigenère cipher are employed to set the identity encryption by the client. After that, key bits are added to the end of cipher text in the encryption process. Finally, cipher texts are decrypted and computed in the cloud environment. Innovatively, each key bit can determine the encoding rule of one or more cipher text bits. Experimental results on National Institute of Standards and Technology (NIST) test show that the proposed scheme can meet the randomness of the security requirements. More important, with a very small amount of memory and CPU time cost, the scheme can encrypt massive data, which is particularly significant for Big Data identity encryption. © Springer International Publishing AG 2017.