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Blockchain-Watermarking for Compressive Sensed Images

Ming Li, Leilei Zeng, Le Zhao, Renlin Yang, Dezhi An, Haiju Fan

2021IEEE Access29 citationsDOIOpen Access PDF

Abstract

With the application of multimedia big data, the problems such as information leakage and data tampering have emerged. The security of images which is one of the most typical multimedia has become a major problem facing the large-scale open network environment. This paper proposed a blockchain-watermarking scheme to protect the privacy, integrity and availability of compressed sensed images, which effectively combines multimedia watermarking, compressed sensing, Interplanetary File System (IPFS) and blockchain technologies. Based on the reliable authentication of watermarking, the confidentiality protection of compressed sensing, the secure storage of IPFS, and the decentralization and non-tamperability of blockchain, the all-round security protection of the image big data based on compressive sensing can be realized. Experiments show that the proposed scheme is effective and feasible.

Topics & Concepts

Digital watermarkingComputer scienceComputer visionArtificial intelligenceComputer graphics (images)Image (mathematics)Advanced Steganography and Watermarking TechniquesBrain Tumor Detection and ClassificationBiometric Identification and Security
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