An Authenticated Encrypted Compressive Sensing based Imaging Mechanism

Tao Wu, C. Ruland
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Abstract

Compressive Sensing (CS) based imaging (CSI) method can recover N pixel information from only M measurements with N ≫ M, if the source information is sparse in some domain. With help of CSI mechanism an imaging system could capture information directly, meanwhile, the confidentiality could be also supported with some configuration due to the random projection, i.e., CSI method integrates sensing, compression and encryption in one step. However, image should be also protected against tampering and forgery, which could be realized by providing the origin and integrity. Since CSI method captures measurements instead of pixel information, the authenticity should be provided in an unconventional but semantic way. This paper introduces an Authenticated Encrypted Compressive Sensing based Imaging (AE-CSI) mechanism, which is constructed by the existed CSMAC and improved CSI mechanism, such that the system provides the origin, integrity and confidentiality of the target image while the sensing process.
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基于认证加密压缩感知的成像机制
基于压缩感知(CS)的成像(CSI)方法可以从N > M的M个测量值中恢复N个像素信息,如果源信息在某些域中是稀疏的。借助CSI机制,成像系统可以直接捕获信息,同时由于其随机投影,还可以通过一些配置来支持机密性,即CSI方法集传感、压缩和加密于一体。然而,图像也要防止篡改和伪造,这可以通过提供来源和完整性来实现。由于CSI方法捕获的是测量值而不是像素信息,因此应该以一种非常规但语义化的方式提供真实性。本文介绍了一种基于认证加密压缩感知的成像(AE-CSI)机制,该机制由现有的CSMAC和改进的CSI机制构建而成,使系统在感知过程中提供目标图像的来源、完整性和机密性。
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