Research on Network Security Situation Awareness Technology Based on Neural Network Model
Article No.: 24, Pages 1 - 5
Abstract
The rapid development of the Internet has made our lives more convenient, and the accompanying security issues are gradually affecting our lives. Although certain protective measures have been taken, such as firewalls and antivirus software, one approach alone is insufficient to counter complex and ever-changing network attacks. Situation awareness can comprehensively and dynamically perceive the network environment, effectively resolving network threats. This article conducts in-depth research on situation assessment and prediction in network security situational awareness technology and improves the LeNet-5 model. The model has an accuracy of 97.43% on KDDCup99 and 90.12% on UNSW-NB15, which has improved the performance when compared to the initial LeNet-5 model and some classic models.
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Index Terms
- Research on Network Security Situation Awareness Technology Based on Neural Network Model
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Published In
December 2023
292 pages
ISBN:9798400709401
DOI:10.1145/3632314
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 09 December 2023
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- Research-article
- Research
- Refereed limited
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ISIA 2023
ISIA 2023: 2023 International Conference on Intelligent Sensing and Industrial Automation
December 9 - 10, 2023
Virtual Event, China
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