Implementation of searchable symmetric encryption for privacy-preserving keyword search on cloud storage

Md Iftekhar Salam, Wei Chuen Yau, Ji Jian Chin, Swee Huay Heng, Huo Chong Ling, Raphael C.W. Phan, Geong Sen Poh, Syh Yuan Tan, Wun She Yap

Research output: Contribution to journalArticleResearchpeer-review

32 Citations (Scopus)

Abstract

Ensuring the cloud data security is a major concern for corporate cloud subscribers and in some cases for the private cloud users. Confidentiality of the stored data can be managed by encrypting the data at the client side before outsourcing it to the remote cloud storage server. However, once the data is encrypted, it will limit server’s capability for keyword search since the data is encrypted and server simply cannot make a plaintext keyword search on encrypted data. But again we need the keyword search functionality for efficient retrieval of data. To maintain user’s data confidentiality, the keyword search functionality should be able to perform over encrypted cloud data and additionally it should not leak any information about the searched keyword or the retrieved document. This is known as privacy preserving keyword search. This paper aims to study privacy preserving keyword search over encrypted cloud data. Also, we present our implementation of a privacy preserving data storage and retrieval system in cloud computing. For our implementation, we have chosen one of the symmetric key primitives due to its efficiency in mobile environments. The implemented scheme enables a user to store data securely in the cloud by encrypting it before outsourcing and also provides user capability to search over the encrypted data without revealing any information about the data or the query.

Original languageEnglish
Article number19
JournalHuman-centric Computing and Information Sciences
Volume5
Issue number1
DOIs
Publication statusPublished - 28 Dec 2015
Externally publishedYes

Keywords

  • Cloud storage
  • Data confidentiality
  • Keyword search
  • Searchable encryption

Cite this