Towards Cloud Security Improvement with Encryption Intensity Selection
Abstract
The emergence of cloud computing has enabled users to store and manage data at a low cost and high availability, which made outsourcing data become appealing to its customers. Since the inception of cloud computing, efforts have been dedicated to improve the security and performance of cloudbased backup services. However, there is yet to be implemented a complete scheme that provides security, utility, and performance. Existing schemes focus on one aspect of the backup service; security of data, functionality of the scheme (e.g. searching data for a keyword), or performance. In this paper, we introduce a cloud backup system aiming to balance all three aspects of the service. The scheme utilizes encryption intensity selection, which allows users to select the encryption intensity of their files, secure deduplication, and querying on encrypted data. The performance of our cloud backup system is measured over an OpenStack cloud installed on CloudLab resources. Results demonstrate that our scheme can improve backup service security and performance while providing more functionality of the encrypted data.
Recommended Citation
M. A. Aman and E. K. Çetinkaya, "Towards Cloud Security Improvement with Encryption Intensity Selection," Proceedings of the 13th International Conference on Design of Reliable Communication Networks (2017, Munich, Germany), pp. 55 - 61, Institute of Electrical and Electronics Engineers (IEEE), Mar 2017.
Meeting Name
13th International Conference on Design of Reliable Communication Networks, DRCN 2017 (2017, Mar. 8-10, Munich, Germany)
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Cloud computing; Clouds; Security of data; Security systems; Backup; CloudLab; De duplications; Integrity; Performance; Searchable encryptions; Security; Cryptography; Deduplication
International Standard Book Number (ISBN)
978-3-8007-4383-4
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Mar 2017