May 1, 2024, 4:11 a.m. | Christian Millichap, Yeeka Yau

cs.CR updates on arXiv.org arxiv.org

arXiv:2312.09956v2 Announce Type: replace
Abstract: In this article, we create an artificial neural network (ANN) that combines both classical and modern techniques for determining the key length of a Vigen\`{e}re cipher. We provide experimental evidence supporting the accuracy of our model for a wide range of parameters. We also discuss the creation and features of this ANN along with a comparative analysis between our ANN, the index of coincidence, and the twist-based algorithms.

accuracy article artificial arxiv cipher cs.cr evidence key length network neural network techniques the key

Sr. Product Manager

@ MixMode | Remote, US

Information Security Engineers

@ D. E. Shaw Research | New York City

Technology Security Analyst

@ Halton Region | Oakville, Ontario, Canada

Senior Cyber Security Analyst

@ Valley Water | San Jose, CA

Incident Response Lead(IR)

@ Blue Yonder | Hyderabad

Comcast Cybersecurity: Privacy Operations Executive Director

@ Comcast | PA - Philadelphia, 1701 John F Kennedy Blvd