Secure Data Transfer and Deletion from Counting Bloom Filter in Cloud Computing. Issue 2 (1st March 2020)

• Record Type: Journal Article
• Authors: Yang, Changsong; Tao, Xiaoling; Zhao, Feng; Wang, Yong
• Is Part Of: Chinese journal of electronics. Volume 29:Issue 2(2020)
• Page Start: 273
• Page End: 280
• Publication Date: 2020-03-01
• Subjects: Cloud storage -- Data deletion -- Data transfer -- Counting Bloom filter -- Public verifiability; cloud computing -- data structures -- outsourcing -- security of data -- storage management; cloud storage -- cloud server -- cloud service providers -- cloud data transfer -- counting Bloom filter -- secure data transfer -- permanent data deletion -- cloud computing; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2020.02.015
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : With the rapid development of cloud storage, an increasing number of data owners prefer to outsource their data to the cloud server, which can greatly reduce the local storage overhead. Because different cloud service providers offer distinct quality of data storage service, e.g., security, reliability, access speed and prices, cloud data transfer has become a fundamental requirement of the data owner to change the cloud service providers. Hence, how to securely migrate the data from one cloud to another and permanently delete the transferred data from the original cloud becomes a primary concern of data owners. To solve this problem, we construct a new counting Bloom filter‐based scheme in this paper. The proposed scheme not only can achieve secure data transfer but also can realize permanent data deletion. Additionally, the proposed scheme can satisfy the public verifiability without requiring any trusted third party. Finally, we also develop a simulation implementation that demonstrates the practicality and efficiency of our proposal.