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An Authenticated Encrypted Compressive Sensing based Imaging Mechanism

机译:基于身份验证的加密压缩感知的成像机制

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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.
机译:如果源信息在某些域中稀疏,则基于压缩传感(CS)的成像(CSI)方法只能从M次测量中恢复N个像素信息中的N个像素信息。借助CSI机制,成像系统可以直接捕获信息,同时由于随机投影还可以通过某种配置来支持机密性,即CSI方法将感测,压缩和加密集成在一个步骤中。但是,还应保护图像免受篡改和伪造,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,因此应以非常规但语义的方式提供真实性。本文介绍了一种基于身份验证的加密压缩感知成像(AE-CSI)机制,该机制是通过现有的CSMAC和改进的CSI机制构造的,从而使系统在进行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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