ID-based sanitizable signature data integrity auditing scheme with privacy-preserving

Abstract

More and more companies, institutions and organizations are choosing to put vast amounts of data on the cloud. However, applications such as multimedia office, e-government and e-health systems need to withhold some data in order to hide highly confidential information when uploading to the cloud. A new data integrity auditing scheme is proposed to protect the privacy information and share the data. The idea of sanitizable signature is used to sanitize the private data to protect the privacy and generate effective signatures to verify the integrity of the data. At the same time, the identity-based encryption auditing mechanism simplifies the complex certificate management and improves the audit efficiency. The stability of the scheme is verified by calculating the Computational Diffie-Hellman Problem (CDHP) and Discrete Logarithm Problem (DLP) in the stochastic prediction model. The performance of the proposed scheme is evaluated by simulation experiments, which proves that the proposed scheme is safe and effective.