Detecting Unknown Network Attacks with Attention Encoding and Deep Metric Learning-Reference-Cited by-同舟云学术

Detecting Unknown Network Attacks with Attention Encoding and Deep Metric Learning

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Author:

Fu Chunlan¹,Han Shirong²,Shen Gang²

Affiliation:

1. Huazhong University of Science and Technology,School of Cyber Science and Engineering,Wuhan,China

2. Huazhong University of Science and Technology,School of Software Engineering,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10063338/10063342/10063410.pdf?arnumber=10063410

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4. Stacked Autoencoder-based Intrusion Detection System to Combat Financial Fraudulent;muhammad;IEEE Internet of Things Journal,2021

5. MANDA: On Adversarial Example Detection for Network Intrusion Detection System;wang;IEEE Transactions on Dependable and Secure Computing,2022

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