论文标题
当通道的统计数据不确定时
Explicit Wiretap Channel Codes via Source Coding, Universal Hashing, and Distribution Approximation, When the Channels' Statistics are Uncertain
论文作者
论文摘要
我们考虑（i）噪声块II，（ii）化合物或（iii）任意变化的模型下的窃听器通道上具有不确定性的窃听通道。我们提出明确的窃听代码，这些代码可以以统一的方式处理这些模型，并且仅依靠三个原语，即带有侧面信息，通用哈希和分布近似的源编码。我们明确的窃听代码实现了对所考虑的模型的最著名的单个字母可实现的速率，以前是非结构上可获得的。我们的结果是针对强大的保密性获得的，不需要合法用户之间的预共享秘密，并且不需要在频道上任何对称属性。我们的结果向复合主通道的扩展还通过用于复合设置的新的能量核能编码方案得出。
We consider wiretap channels with uncertainty on the eavesdropper channel under (i) noisy blockwise type II, (ii) compound, or (iii) arbitrarily varying models. We present explicit wiretap codes that can handle these models in a unified manner and only rely on three primitives, namely source coding with side information, universal hashing, and distribution approximation. Our explicit wiretap codes achieve the best known single-letter achievable rates, previously obtained non-constructively, for the models considered. Our results are obtained for strong secrecy, do not require a pre-shared secret between the legitimate users, and do not require any symmetry properties on the channel. An extension of our results to compound main channels is also derived via new capacity-achieving polar coding schemes for compound settings.
