| Title | Matrices From Topological Graphic Coding of Network Security |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Yao, Bing, Zhao, Meimei, Mu, Yarong, Sun, Yirong, Zhang, Xiaohui, Zhang, Mingjun, Yang, Sihua |
| Conference Name | 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) |
| Date Published | dec |
| Keywords | coding theory, compositionality, cryptography, edge splitting operations, encoding, encrypted networks, graph theory, Labeling, mathematical models, matrix algebra, Metrics, Network security, password, pubcrawl, resilience, Resiliency, security, splitting labellings, topcode-matrices, topological coding matrices, Topological graphic coding, Topology, Topsnut-gpws, vertex splitting operations |
| 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. |
| DOI | 10.1109/IAEAC47372.2019.8997688 |
| Citation Key | yao_matrices_2019 |
Matrices From Topological Graphic Coding of Network Security