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Secrecy Amplification of Distributed Encrypted Sources With Correlated Keys Using Post-Encryption-Compression

机译:使用后加密压缩对具有相关密钥的分布式加密源进行保密放大

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In this paper, we are interested in the problem of strengthening the secrecy of distributed encryption in a particular case where the encryption keys are correlated to each other. We show that the post-encryption-compression (PEC) paradigm provides a suitable solution for the problem without requiring any additional secret randomness. More precisely, we show that in the case of one-time-pad encryption, we can use affine encoders with specific properties to strengthen the secrecy by using them to compress the ciphertexts before sending them to public communication channels. We show how to derive those affine encoders using universal code construction paradigm. The universal code construction gives us advantages as follows. 1) We can construct good encoders based on the transmission rates only, without knowing the value of the distribution of sources or keys. 2) Reliability and secrecy are achievable by construction even in particular cases such as follows: 1) only the range of correlation between keys is known but the exact amount is unknown or 2) the correlation between keys are changing time to time within a certain range. We also derive explicit lower bounds on the achievable reliability and secrecy exponents, i.e., the exponential rates of decay of the probability of decoding error and of the information leakage as the block length becomes large.
机译:在本文中,我们对在加密密钥相互关联的特定情况下增强分布式加密的保密性的问题感兴趣。我们表明,加密后压缩(PEC)范式为该问题提供了合适的解决方案,而无需任何其他秘密随机性。更准确地说,我们表明在一次性填充加密的情况下,我们可以使用具有特定属性的仿射编码器,通过在将密文发送到公共通信渠道之前对密文进行压缩来增强保密性。我们展示了如何使用通用代码构造范例来推导那些仿射编码器。通用代码构造为我们提供了以下优点。 1)我们可以仅基于传输速率构造好的编码器,而无需知道源或密钥的分布值。 2)即使在如下特殊情况下,也可以通过构造实现可靠性和保密性:1)仅知道密钥之间的相关范围,但确切的数量未知;或2)密钥之间的相关性在一定范围内不时变化。我们还得出了可实现的可靠性和保密指数的明确下限,即随着块长度变大,解码错误的概率和信息泄漏的指数衰减率。

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