论文标题
使用自然语言增强网络密码算法
Enhancing Networking Cipher Algorithms with Natural Language
论文作者
论文摘要
这项工作提供了几种网络密码算法的调查，并提出了一种将自然语言处理（NLP）作为保护剂的保护剂的方法。涵盖了在网络中使用NLP的两个主要建议。首先，NLP被认为是网络加密模型中最弱的链接。其次，作为一种强大的威慑力，当将被认为是强大的加密类型的额外层结合在一起时 - 流密封器。本文总结了如何将语言集成到对称加密中，以此来协助加密易受伤害的流，这些流由于本地语言流中字母或单词的固有频率分布而在攻击下可能会发现。
This work provides a survey of several networking cipher algorithms and proposes a method for integrating natural language processing (NLP) as a protective agent for them. Two main proposals are covered for the use of NLP in networking. First, NLP is considered as the weakest link in a networking encryption model; and, second, as a hefty deterrent when combined as an extra layer over what could be considered a strong type of encryption -- the stream cipher. This paper summarizes how languages can be integrated into symmetric encryption as a way to assist in the encryption of vulnerable streams that may be found under attack due to the natural frequency distribution of letters or words in a local language stream.
