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Matrices From Topological Graphic Coding of Network Security

Authors :
Yirong Sun
Mingjun Zhang
Yarong Mu
Meimei Zhao
Xiaohui Zhang
Sihua Yang
Bing Yao
Source :
2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Matrices as mathematical models have been used in each branch of scientific fields for hundred years. We propose a new type of matrices, called topological coding matrices (Topcode-matrices). Topcode-matrices show us the following advantages: Topcode-matrices can be saved in computer easily and run quickly in computation; since a Topcode-matrix corresponds two or more Topsnut-gpws, so Topcode-matrices can be used to encrypt networks such that the encrypted networks have higher security; Topcode-matrices can be investigated and applied by people worked in more domains; Topcode-matrices can help us to form new operations, new parameters and new topics of graph theory, such as vertex/edge splitting operations and connectivities of graphs. Several properties and applications on Topcode-matrices, and particular Topcode-matrices, as well as unknown problems are introduced.

Details

Database :
OpenAIRE
Journal :
2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
Accession number :
edsair.doi...........28cdc8a1f6f468df4b7f40a8a2aafd6c