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Serdica Journal of Computing
Article . 2007 . Peer-reviewed
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Article . 2007
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On Graph-Based Cryptography and Symbolic Computations

On graph-based cryptography and symbolic computations
Authors: V. A., Ustimenko;

On Graph-Based Cryptography and Symbolic Computations

Abstract

We have been investigating the cryptographical properties of in nite families of simple graphs of large girth with the special colouring of vertices during the last 10 years. Such families can be used for the development of cryptographical algorithms (on symmetric or public key modes) and turbocodes in error correction theory. Only few families of simple graphs of large unbounded girth and arbitrarily large degree are known. The paper is devoted to the more general theory of directed graphs of large girth and their cryptographical applications. It contains new explicit algebraic constructions of in finite families of such graphs. We show that they can be used for the implementation of secure and very fast symmetric encryption algorithms. The symbolic computations technique allow us to create a public key mode for the encryption scheme based on algebraic graphs.

Keywords

Small World Graphs, Stream Ciphers, Graph Based Algorithms, Applications of graph theory, Family Of Graphs of High Girth, stream ciphers, 511, Encryption, Public Key, Directed graphs (digraphs), tournaments, small-world graphs, Symbolic computation and algebraic computation, Authentication, digital signatures and secret sharing, Private Key, graph-based algorithms, graphs of high girth, Cryptography, public key, private key, Small world graphs, complex networks (graph-theoretic aspects), encryption

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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gold