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Privacy-enhanced keyword search in clouds

Conference Paper


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Abstract


  • The advent of cloud computing has dramatically changed the IT scene, as it offers cost savings and improvements to major operations. Nevertheless, the major obstacle relies on the effort on how to secure sensitive data files that are outsourced to the cloud environment. To ensure confidentiality, the sensitive data are usually encrypted prior to being outsourced. Nevertheless, effective data utilization remains a challenging task and there is a clear need for a secure and efficient searching mechanism over the encrypted data in the cloud, to increase the us-ability of the secure cloud environment. Unfortunately, existing work in the area of secure searching in the outsourcing scenario usually incur high computational complexity, which makes the approach impractical. In this paper, we take one step ahead by proposing an efficient keyword search scheme for cloud computing. Our solution is very lightweight, and it enables efficient multi-user keyword search over outsourced data files in the cloud environment, without leaking any private information about both the data owner and users in the search query. We formally define the security requirements and prove that our scheme is secure under a simple assumption in the standard model.

UOW Authors


  •   Zhou, Miao (external author)
  •   Mu, Yi (external author)
  •   Susilo, Willy
  •   Au, Man Ho Allen (external author)

Publication Date


  • 2013

Citation


  • Zhou, M., Mu, Y., Susilo, W. & Au, M. (2013). Privacy-enhanced keyword search in clouds. 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (pp. 447-451). United States: IEEE.

Scopus Eid


  • 2-s2.0-84893469113

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3148&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2139

Start Page


  • 447

End Page


  • 451

Abstract


  • The advent of cloud computing has dramatically changed the IT scene, as it offers cost savings and improvements to major operations. Nevertheless, the major obstacle relies on the effort on how to secure sensitive data files that are outsourced to the cloud environment. To ensure confidentiality, the sensitive data are usually encrypted prior to being outsourced. Nevertheless, effective data utilization remains a challenging task and there is a clear need for a secure and efficient searching mechanism over the encrypted data in the cloud, to increase the us-ability of the secure cloud environment. Unfortunately, existing work in the area of secure searching in the outsourcing scenario usually incur high computational complexity, which makes the approach impractical. In this paper, we take one step ahead by proposing an efficient keyword search scheme for cloud computing. Our solution is very lightweight, and it enables efficient multi-user keyword search over outsourced data files in the cloud environment, without leaking any private information about both the data owner and users in the search query. We formally define the security requirements and prove that our scheme is secure under a simple assumption in the standard model.

UOW Authors


  •   Zhou, Miao (external author)
  •   Mu, Yi (external author)
  •   Susilo, Willy
  •   Au, Man Ho Allen (external author)

Publication Date


  • 2013

Citation


  • Zhou, M., Mu, Y., Susilo, W. & Au, M. (2013). Privacy-enhanced keyword search in clouds. 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (pp. 447-451). United States: IEEE.

Scopus Eid


  • 2-s2.0-84893469113

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3148&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2139

Start Page


  • 447

End Page


  • 451