Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Research and Application of Key Technologies for Network Security Situational Awareness Based on Machine Learning

Authors
Hongbin Gu1, Xiaolong Li1, Xi Yang1, Kongpeng Wei1, *
1Panjin Vocational and Technical College, No. 999 Zhengbang Road, Liaodong Bay New District, Panjin, 124000, Liaoning, China
*Corresponding author. Email: kpwei@pjvtc.edu.cn
Corresponding Author
Kongpeng Wei
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_163How to use a DOI?
Keywords
Machine learning; Network security; Situational awareness
Abstract

With the emergence of a large number of network attacks due to the booming network, it is no longer possible to meet the higher requirements of network security if we only rely on simple network security protection technologies such as access control, firewall, intrusion detection, etc. In this situation, the research of network security situational awareness is increasingly applied to network security protection. Network security situational awareness is an environment-based, dynamic, and holistic insight into security risks. Based on the conceptual model of situational awareness, this paper introduces the key technologies of network security situational awareness, and compares the evaluation and prediction effects of different machine learning algorithms applied to network security situational awareness based on the massive network security situational data from multiple heterogeneous sources.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
978-94-6463-198-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_163How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hongbin Gu
AU  - Xiaolong Li
AU  - Xi Yang
AU  - Kongpeng Wei
PY  - 2023
DA  - 2023/08/10
TI  - Research and Application of Key Technologies for Network Security Situational Awareness Based on Machine Learning
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 1566
EP  - 1572
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_163
DO  - 10.2991/978-94-6463-198-2_163
ID  - Gu2023
ER  -