Recently, the weakness of existing compressive sensing process from the perspective of the chosen-plaintext attack is discovered. Some algorithms directly use Gaussian matrix as the measurement matrix to do linear dimension reduction projection, which will fail to resist chosen-plaintext attack. To enhance the security and performance of compressive sensing process, double random phase encoding based block compressive sensing is designed, which is chaos-based random phase encoding in fractional Fourier domain for each image block. Moreover, image encryption method using DRPE-based block compressive sensing-combined random phase encoding is proposed. The experimental results demonstrate that the proposed encryption method not only achieves high security level but also has better reconstruction quality compared with other existing encryption methods. Keywords: Securely compressive sensing, fractional Fourier transform, random phase encoding
Security and privacy is always the most important issues by the public in the Internet of Things. The core problems are associated with the diversifying of the Internet towards an Internet of things, and the different requirements to the security level for application. Therefore, this paper is to put forward an authentication model and protocol to cope with the problem. The protocol is adopted with attribute-based encryption to replace the traditional identity-based encryption (IBE), and then make formalization analysis to the security of the protocol by using BAN logic.
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