Title: Identity-Based Encryption Technique with Ranking for Multi-Keywords Search in Cloud (IDERMKS)

Issue Number: Vol. 7, No. 3
Year of Publication: Sep - 2018
Page Numbers: 305-316
Authors: Regina Esi Turkson, Yongjian Liao, Edward Yeallakuor
Journal Name: International Journal of Cyber-Security and Digital Forensics (IJCSDF)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002490

Abstract:


Cloud providers use virtualization technologies combined with self-service capabilities for computing resources via network infrastructure. In recent time, massive growth in big data generated through cloud has been noticed. This massive growth of data in the cloud has security issues and challenges. Sensitive data outsourced into the cloud needs to be encrypted and this makes searching and retrieval of the data very difficult since we have voluminous data store in the cloud. In this paper, we address this difficulty by proposing an Identity-based technique with ranking for multi-keywords search (IDERMKS) scheme enabling data users to search for and retrieve encrypted files that has been outsourced into the cloud by a data owner. The retrieved encrypted files are ranked based on their relevance scores and the top-k relevant files are then returned by the cloud to the data user. The data user then obtains a decryption key from the appropriate data owner to decrypt the selected file. The security requirement of our scheme is provably secure and the performance of our scheme is also more efficient as compared to other Public-key Encryption with Keyword Search (PEKS) schemes.