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ZTE Communications ›› 2010, Vol. 8 ›› Issue (4): 31-33.

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Encrypted Storage and Retrieval in Cloud Storage Applications

Huang Yongfeng, Zhang Jiuling, Li Xing   

  1. The NGN Lab of Tsinghua University, Beijing 100084, P. R. China
  • 出版日期:2010-12-25 发布日期:2020-02-28
  • 作者简介:Huang Yongfeng received his doctoral degree from Huazhong University of Science and Technology, and was a postdoctoral fellow at the Department of Electronic Engineering, Tsinghua University. He is an associate professor at Tsinghua University’s NGN lab. His research interests include the information processing in the Internet.

    Zhang Jiuling is a doctoral candidate at Tsinghua University’s NGN lab. His research field is encrypted information retrieval.

    Li Xing received his doctoral degree from the Department of Computer Science, Drexel University, USA. He is a professor and doctoral advisor at the Department of Electronic Engineering, Tsinghua University. He holds positions as the deputy director of the Network Research Center, Tsinghua University, director of Networks and Man-Machine Speech Communication Research Institute, Tsinghua University, and deputy director of China Education and Research Network (CERNET) National Network Center. He is also a member of the CERNET Technical Board. He once presided over a demonstration project of CERNET, which was awarded the Science and Technology Advance Prize of the Ministry of Education, China, and the second prize in the National Science and Technology Advance Prizes of China.
  • 基金资助:
    This work was funded by the National Key Technology R & D Program of China under Grant No. 2008BAH37B07, the National Natural Science Foundation of China under Grant No. 60970148, and the National Basic Research Program of China ("973" Program) under Grant No. 2007CB310806.

Encrypted Storage and Retrieval in Cloud Storage Applications

Huang Yongfeng, Zhang Jiuling, Li Xing   

  1. The NGN Lab of Tsinghua University, Beijing 100084, P. R. China
  • Online:2010-12-25 Published:2020-02-28
  • About author:Huang Yongfeng received his doctoral degree from Huazhong University of Science and Technology, and was a postdoctoral fellow at the Department of Electronic Engineering, Tsinghua University. He is an associate professor at Tsinghua University’s NGN lab. His research interests include the information processing in the Internet.

    Zhang Jiuling is a doctoral candidate at Tsinghua University’s NGN lab. His research field is encrypted information retrieval.

    Li Xing received his doctoral degree from the Department of Computer Science, Drexel University, USA. He is a professor and doctoral advisor at the Department of Electronic Engineering, Tsinghua University. He holds positions as the deputy director of the Network Research Center, Tsinghua University, director of Networks and Man-Machine Speech Communication Research Institute, Tsinghua University, and deputy director of China Education and Research Network (CERNET) National Network Center. He is also a member of the CERNET Technical Board. He once presided over a demonstration project of CERNET, which was awarded the Science and Technology Advance Prize of the Ministry of Education, China, and the second prize in the National Science and Technology Advance Prizes of China.
  • Supported by:
    This work was funded by the National Key Technology R & D Program of China under Grant No. 2008BAH37B07, the National Natural Science Foundation of China under Grant No. 60970148, and the National Basic Research Program of China ("973" Program) under Grant No. 2007CB310806.

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摘要： Problems with data security impede the widespread application of cloud computing. Although data can be protected through encryption, effective retrieval of encrypted data is difficult to achieve using traditional methods. This paper analyzes encrypted storage and retrieval technologies in cloud storage applications. A ranking method based on fully homomorphic encryption is proposed to meet demands of encrypted storage. Results show this method can improve efficiency.

关键词: cloud storage, vector space model, relevance ranking

Abstract: Problems with data security impede the widespread application of cloud computing. Although data can be protected through encryption, effective retrieval of encrypted data is difficult to achieve using traditional methods. This paper analyzes encrypted storage and retrieval technologies in cloud storage applications. A ranking method based on fully homomorphic encryption is proposed to meet demands of encrypted storage. Results show this method can improve efficiency.

Key words: cloud storage, vector space model, relevance ranking