Enhancing Networking Cipher Algorithms with Natural Language
It addresses security vulnerabilities in networking encryption for domains like communication systems, but appears incremental as it builds on existing cipher methods.
This paper tackles the problem of enhancing networking cipher algorithms by integrating natural language processing (NLP) as a protective layer, proposing NLP as a weakest link or extra deterrent to assist in encrypting vulnerable streams.
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.