Paper
15 January 2025 Research on dynamic network security detection technology based on SDN
Kai Zhao
Author Affiliations +
Proceedings Volume 13516, Fourth International Conference on Network Communication and Information Security (ICNCIS 2024); 1351618 (2025) https://doi.org/10.1117/12.3052022
Event: International Conference on Network Communication and Information Security (ICNCIS 2024), 2024, Hangzhou, China
Abstract
Traditional network architecture can no longer meet the development needs of technologies such as cloud computing and big data. SDN network architecture has the characteristics of high openness and programmability, which can quickly respond to changes in business requirements. SDN decouples the control management function of the network from the data forwarding function, simplifies network configuration work based on logic centralized controllers and open programming interfaces, thereby achieving a flat management mode and flexible data forwarding function. The centralized control and programmability of SDN networks also pose significant security threats to SDN. Based on the CSE-CIC-IDS2018 dataset, this article tests the performance of various intelligent learning algorithms, analyzes data flows, distinguishes normal data from abnormal data, improves detection accuracy, and has practical significance for the security defense of SDN networks.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Kai Zhao "Research on dynamic network security detection technology based on SDN", Proc. SPIE 13516, Fourth International Conference on Network Communication and Information Security (ICNCIS 2024), 1351618 (15 January 2025); https://doi.org/10.1117/12.3052022
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KEYWORDS
Network security

Computer security

Network architectures

Control systems

Machine learning

Data transmission

Defense and security

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