Enhancing Networking Cipher Algorithms with Natural Language

• URL: http://arxiv.org/abs/2206.10924v1
• Date: Wed, 22 Jun 2022 09:05:52 GMT
• Title: Enhancing Networking Cipher Algorithms with Natural Language
• Authors: John E. Ortega
• Abstract summary: Natural language processing is considered as the weakest link in a networking encryption model. This paper summarizes how languages can be integrated into symmetric encryption as a way to assist in the encryption of vulnerable streams.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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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