Quantitative Network Security Evaluation and Searching Path Selection Based on Weighted Network Topology

DOI

10.2991/amcce-15.2015.165How to use a DOI?

Keywords

Quantitative evaluation; Encounter probability; Markov; DTN clustering; Integral coefficient; Corpus

Abstract

Based on the research object of English translation corpus and its official artificial score, through the corpus annotation and statistical analysis, this paper uses corpus linguistics method to reveal the main factors of rater concerning in the translation test artificial scores. Based on dynamic semi Markov path searching model, this paper proposes a new DTN clustering routing method of vocabulary encounter probability evaluation. This method introduces an integral coefficient in integral, which improves the quantization range and efficiency of translation test. Through the quantitative evaluation analysis of English translation corpus, the algorithm can effectively calculate the class identifier number, number of shape symbols, pictogram category symbols ratio, average sentence length and other parameters, which greatly improves the efficiency of test and evaluation, and it is a new computer quantitative method for English translation.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chunhui Han
PY  - 2015/04
DA  - 2015/04
TI  - Quantitative Network Security Evaluation and Searching Path Selection Based on Weighted Network Topology
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 872
EP  - 877
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.165
DO  - 10.2991/amcce-15.2015.165
ID  - Han2015/04
ER  -