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International Conference on Cloud Computing and Security

ICCCS 2016: Cloud Computing and Security pp 389–408Cite as

Outsourced Data Modification Algorithm with Assistance of Multi-assistants in Cloud Computing

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10039))

Abstract

The rapid development of cloud storage in these years has caused a wave of research craze. To improve the cloud user experience, a large amount of schemes are proposed with various practical performances, for instance, long term correct data storage and dynamic data modification. In most works, however, the authors seem to completely ignore the hard fact that data owner alone could not have enough energy to discover and correct all the inappropriate data outsourced in cloud. Others did consider it, and gave more than one user both read and write permissions, which leads to chaotic management of multiusers. In this paper, we propose a novel algorithm, in which the data owner and several authenticated assistants form a team to support dynamic data modification together. Assistants are in charge of detecting problems in cloud data and discussing a corresponding modification suggestion, while data owner is responsible for the implementation of the modification. In addition, our algorithm supports identity authentication, efficient malicious assistant revocation, as well as lazy update. Sufficient numerical analysis validates the performance of our algorithm.

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Acknowledgments

This work is supported by the National Science Foundation of China under Grant No. 61300237, No. U1536206, No. U1405254, No. 61232016 and No. 61402234, the National Basic Research Program 973 under Grant No. 2011CB311808, the Natural Science Foundation of Jiangsu province under Grant No. BK2012461, the research fund from Jiangsu Technology & Engineering Center of Meteorological Sensor Network in NUIST under Grant No. KDXG1301, the research fund from Jiangsu Engineering Center of Network Monitoring in NUIST under Grant No. KJR1302, the research fund from Nanjing University of Information Science and Technology under Grant No. S8113003001, the 2013 Nanjing Project of Science and Technology Activities for Returning from Overseas, the 2015 Project of six personnel in Jiangsu Province under Grant No. R2015L06, the CICAEET fund, and the PAPD fund.

Author information

Authors and Affiliations

  1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

    Jian Shen & Jun Shen

  2. Department of Jiangsu Engineering Center of Network Monitoring, Nanjing, Jiangsu, China

    Jian Shen

  3. Technology and Engineering Center of Meteorological Sensor Network, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing, China

    Jian Shen

  4. Hunan University of Science and Technology, Hunan, China

    Xiong Li

  5. The PLA Information Engineering University, Henan, China

    FuShan Wei

  6. Hohai University, Nanjing, China

    JiGuo Li

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  1. Jian Shen
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  2. Jun Shen
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Corresponding author

Correspondence to Jian Shen .

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Editors and Affiliations

  1. University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Michigan State University , EAST LANSING, Michigan, USA

    Alex Liu

  3. National Dong Hwa University , Shoufeng, Taiwan

    Han-Chieh Chao

  4. Purdue University , West Lafayette, Indiana, USA

    Elisa Bertino

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Shen, J., Shen, J., Li, X., Wei, F., Li, J. (2016). Outsourced Data Modification Algorithm with Assistance of Multi-assistants in Cloud Computing. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10039. Springer, Cham. https://doi.org/10.1007/978-3-319-48671-0_35

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  • DOI: https://doi.org/10.1007/978-3-319-48671-0_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48670-3

  • Online ISBN: 978-3-319-48671-0

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