Design and Verification of an Adversarial Training Defense Algorithm for Network Traffic
At present, there are more and more attacks targeting network traffic, among which adversarial sample attack method is a popular attack method in recent years, which brings relatively high Security threats. This paper studies the basic principles of network traffic adversarial attacks and adversarial defense, designs a network traffic defense algorithm based on adversarial training to resist adversarial attacks, and verifies its effectiveness and accuracy on the ISCXVPN-2016 dataset.
Authors
- Xiuqing Mao (ORCID: https://orcid.org/0000-0002-7305-8831)
- Lei Sun
Institutions
- PLA Information Engineering University (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/icnc64304.2024.10987735
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00