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arXiv · 2206.10924

Enhancing Networking Cipher Algorithms with Natural Language

John E. Ortega
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Abstract

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.

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John E. Ortega. 2022-06-22. Enhancing Networking Cipher Algorithms with Natural Language. https://doi.org/10.5121/csit.2022.121013

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