Efficient Similarity Search over Encrypted Data on Cloud

Authors

  • Ankur Verma Department of Information Technology, Mumbai University, Rajendra Mane College of Engineering and Technology Ambav, Devrukh, India Author
  • Bhagyashri Patki Department of Information Technology, Mumbai University, Rajendra Mane College of Engineering and Technology Ambav, Devrukh, India Author
  • Priyanka Sawant Department of Information Technology, Mumbai University, Rajendra Mane College of Engineering and Technology Ambav, Devrukh, India Author
  • Prajkta Waingankar Department of Information Technology, Mumbai University, Rajendra Mane College of Engineering and Technology Ambav, Devrukh, India Author
  • Dike Onkar D Department of Information Technology, Mumbai University, Rajendra Mane College of Engineering and Technology Ambav, Devrukh, India Author

Keywords:

The Cloud Computing, Security, Homomorphic Encryption, Locality Sensitive Hashing

Abstract

In today’s world large amount of data can be stored on cloud. Therefore security over the cloud becomes a major issue. However services on cloud may have many advantages but security of the sensitive data is a major problem. To reduce this problem, it is preferable to store data in encrypted form. Encrypted data protects the data against illegal access. To retrieve search over encrypted data, many searchable encryption schemes have been used.
In this paper, we ensure the confidentiality of sensitive data by providing security. To do so we provide homomorphic security algorithm is use to protect data from illegal access. In this cloud computing takes encrypted data and performs all the processes to meets the user query without aware of its data, and retrieved encrypted data can be decrypted only by the authorized user who acquaint the request. This helps to client to depend on the services provided without concerning their privacy.

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Published

2015-04-30

Issue

Section

Articles

How to Cite

Efficient Similarity Search over Encrypted Data on Cloud. (2015). International Journal of Current Engineering and Technology, 5(2), 994-998. https://ijcet.evegenis.org/index.php/ijcet/article/view/2435