Phrase Search Using Bloom Filter for Encrypted Cloud Storage

Authors

  • Mr.K.Vijiyakumar Professor and Student, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India
  • K.Bakkiyalakshmi Student, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India
  • J.Kirthana Student, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India
  • R.Swathi Student, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India

Keywords:

Bloom filter, Phrase search, Privacy, Security, Symmetric Encryption, Storage cost.

Abstract

The advent of cloud technologies promises greater scalability and accessibility, but it also highlights the need for
greater privacy and security. Many researchers investigated solutions to search over encrypted documents stored on remote
cloud servers. In this paper, we introduced Bloom filters technique for a phrase search scheme that is significantly faster
than existing solutions, with similar or better storage and communication cost. Our technique uses a series of n-gram filters
to support the functionality solution makes use of symmetric encryption, which provides computational and storage efficiency
over many existing solutions

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Published

2018-04-25

How to Cite

Mr.K.Vijiyakumar, K.Bakkiyalakshmi, J.Kirthana, & R.Swathi. (2018). Phrase Search Using Bloom Filter for Encrypted Cloud Storage. International Journal of Advance Engineering and Research Development (IJAERD), 5(4), 143–150. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/3035

Issue

Vol. 5 No. 4 (2018): Volume 5 Issue 4 April 2018

Section

Articles