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Secret sharing using artificial neural network

Secret sharing is a fundamental notion for secure cryptographic design. In a secret sharing scheme, a set of participants shares a secret among them such that only pre-specified subsets of these shares can get together to recover the secret. This dissertation introduces a neural network approach to solve the problem of secret sharing for any given access structure. Other approaches have been used to solve this problem. However, the yet known approaches result in exponential increase in the amount of data that every participant need to keep. This amount is measured by the secret sharing scheme information rate. This work is intended to solve the problem with better information rate.

Identiferoai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/1223
Date15 November 2004
CreatorsAlkharobi, Talal M.
ContributorsMercer, Ray, Pooch, Udo
PublisherTexas A&M University
Source SetsTexas A and M University
Languageen_US
Detected LanguageEnglish
TypeBook, Thesis, Electronic Dissertation, text
Format847625 bytes, 891244 bytes, electronic, application/pdf, text/plain, born digital

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