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.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/icnc64304.2024.10987735
Primary Topic
Network Security and Intrusion Detection
Type
article
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article

Design and Verification of an Adversarial Training Defense Algorithm for Network Traffic

Xiuqing Mao, Lei Sun
1 links
Network Security and Intrusion Detection
article

Design and Verification of an Adversarial Training Defense Algorithm for Network Traffic

Xiuqing Mao, Lei Sun
article en

Abstract

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.

PLA Information Engineering University (CN)
Openalex Percentile: Top 64%
Network Security and Intrusion Detection
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Design and Verification of an Adversarial Training Defense Algorithm for Network Traffic — Xiuqing Mao, Lei Sun · (2024) | TGRS Research Map | TGRS