Compressive Sensing encryption modes and their security
Compressive Sensing encryption modes and their security
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DOI：
10.1109/icitst.2016.7856681
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
Robin M. Fay;C. Ruland
中科院分区：
文献类型：
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作者：
Robin M. Fay;C. Ruland
压缩感知可以以有限的额外成本提供良好的安全级别的机密性。通过这种方式，可以将加密直接添加到采样过程中。先前提出的压缩感知加密方案是基于感知矩阵引入的随机性。一旦矩阵固定，加密就变得确定性，因此在加密多个信号时很难保证安全。本文提出的工作建立在一次性压缩感知加密保密性的理论成果的基础上，并提出了实际的实现，扩展了这种加密，使得可以在单个密钥下对多个信号进行加密。因此，信号的机密性仅由压缩测量的固有保密性给出。与最近的建议相比，本文定义的操作模式能够对具有不同能量的信号进行加密，而不会将信号能量暴露给窃听者。提出了压缩感知加密模式的一般设计以及两种实现：一种是为并行处理而设计的，另一种是自同步的。所提出的模式的保密性被简化为已知且可信的密码原语的保密性。压缩感知加密模式通过提供从传感器级别开始的联合端到端加密和压缩，在广泛的实际应用中非常有用。
Compressed Sensing may offer confidentiality with a good level of security that comes at limited extra costs. By this means, encryption can be added right into the sampling process. Previous proposals of Compressive Sensing encryption schemes are based on the randomness introduced by the sensing matrix. Once the matrix is fixed, the encryption becomes deterministic and therefore it can hardly be secure when encrypting more than a single signal. The work presented in this paper is built on the theoretical results on the secrecy of one-time Compressive Sensing encryption, and it proposes practical realizations, which extend this kind of encryption so that multiple signals may be encrypted under a single key. The confidentiality of the signal is thereby solely given by the inherent secrecy of the compressed measurements. In contrast to recent suggestions, the modes of operation defined in this paper are able to encrypt signals with different energy without exposing the signals energy to an eavesdropper. A general design for Compressive Sensing encryption modes is presented along with two realizations: one designed for parallel processing and another one that is self-synchronizing. The secrecy of the proposed modes is reduced to the secrecy of known and trusted cryptographic primitives. Compressive Sensing encryption modes are useful in a wide range of practical applications by providing a joint end-to-end encryption and compression that starts at the sensor level.