论文标题
软检测物理层不安全感
Soft detection physical layer insecurity
论文作者
论文摘要
我们确定在执行任何猜测随机添加噪声解码（GRAND）算法的过程中，可以评估可解释的，有用的解码置信度衡量标准。该度量采用假设的对数似然比（LLR）的形式，即如果通过给定查询找到解码，解码是正确的，而不是其不正确。该LLR可以用作一系列应用程序的软输出，我们通过证明它可以自信地丢弃可能错误的解码来证明其实用性，以返回更容易管理的擦除。我们证明该功能可用于通过准确，自信地揭示代码速率远高于相关硬检测通道的香农容量时，可以通过准确，自信地揭示一定比例的通信来损害物理层安全性。
We establish that during the execution of any Guessing Random Additive Noise Decoding (GRAND) algorithm, an interpretable, useful measure of decoding confidence can be evaluated. This measure takes the form of a log-likelihood ratio (LLR) of the hypotheses that, should a decoding be found by a given query, the decoding is correct versus its being incorrect. That LLR can be used as soft output for a range of applications and we demonstrate its utility by showing that it can be used to confidently discard likely erroneous decodings in favor of returning more readily managed erasures. We show that feature can be used to compromise the physical layer security of short length wiretap codes by accurately and confidently revealing a proportion of a communication when code-rate is far above the Shannon capacity of the associated hard detection channel.
