@inproceedings{ca7de332328b4d80bb2f4f7d5025ab1f,
title = "Research on network security risk modeling and quantitative analysis theory",
abstract = "This paper realizes the network security assessment model based on hidden Markov. Firstly, the principle and basic problem of Hidden Markov Model are analyzed. Select the Snort software alarm as the input, convert the alarm into the quantification value of the network security risk model, and quantify the network security in real time, then design and implement the whole Hidden Markov Model.",
keywords = "Classification algorithm, Hidden Markov Model, Learning algorithm, Network security",
author = "Zhao, {Xiao Lin} and Yang, {Yi Ning} and Li, {Xu Hui} and Feng Jiang and Ji Zhang",
note = "Publisher Copyright: {\textcopyright}2017 Association for Computing Machinery.; 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017 ; Conference date: 20-10-2017 Through 22-10-2017",
year = "2017",
month = oct,
day = "20",
doi = "10.1145/3180496.3180614",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "99--104",
editor = "Srikanta Patnaik",
booktitle = "Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017",
}