Abstract
Cloud storage is widely used by both individual and organizational users due to the many benefits, such as scalability, ubiquitous access, and low maintenance cost (and generally free for individual users). However, there are known security and privacy issues in migrating data to the cloud. To ensure or verify data integrity, a number of cloud data integrity checking schemes with different properties have been presented in the literature. Most existing schemes were subsequently found to be insecure or have high computation and communication costs. More recently in 2016, Yu et al. (Future Gener Comput Syst 62:85–91, 2016) proposed an identity-based auditing scheme for checking the integrity of cloud data. However, in this paper, we reveal that the scheme is vulnerable to data recovery attack. We also present a new identity-based public auditing scheme and formally prove the security of the scheme under the RSA assumption with large public exponents in the random oracle model. We then evaluate the performance of our proposed scheme and demonstrate that in comparison with Yu et al.’s scheme, our proposal is more practical in real-world applications.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.