Journal on Communications ›› 2014, Vol. 35 ›› Issue (Z2): 147-153.doi: 10.3969/j.issn.1000-436x.2014.z2.020

• Papers • Previous Articles     Next Articles

Approach to keyword search over encrypted data in cloud

Peng ZHANG1,2,Yan LI3,4,Hai-lun LIN4,Rong YANG1,2,Qing-yun LIU1,2   

  1. 1 Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100093,China
    2 National Engineering Laboratory for Information Security Technologies,Beijing 100093,China
    3 National Computer Network Emergency Response and Coordination Center,Beijing 100029,China
    4 Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China
  • Online:2014-11-25 Published:2017-06-19
  • Supported by:
    The National Natural Science Foundation of China;The Ph.D.Programs Foundation of China

Abstract:

With the advent of cloud computing,large-scale data are being increasingly outsourced to the cloud.For the protection of data privacy,sensitive data has to be encrypted before outsourcing,which makes effective data utilization a very challenging task.Although traditional searchable encryption approaches allow users to search over encrypted data through keywords,they don’t capture any relevance of data files,so users have to spend much time on post-processing every retrieved file in order to find ones most matching their interest.Moreover,retrieving all files containing the queried keyword further incurs unnecessary network traffic,which is not accord with pay-as-you-use cloud paradigm.An approach to ranked keyword search over encrypted data in cloud is proposed.Ranked search greatly mitigate the user’s effort by returning the matching files in a ranked order,and also protects the data privacy by order-preserving encryption.Extensive experimental results demonstrate the efficiency.

Key words: privacy-preserving, cloud computing, order-preserving encryption, one-to-many order-preserving mapping

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