Analyzing Learning-based Encrypted Malware Traffic Classification with AutoML-Reference-Cited by-同舟云学术

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Analyzing Learning-based Encrypted Malware Traffic Classification with AutoML

Published:2021-10-13 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 21st International Conference on Communication Technology (ICCT)
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Author:

Isingizwe Didier Frank¹,Wang Meng²,Liu Wenmao³,Wang Dongsheng¹,Wu Tiejun⁴,Li Jun⁵

Affiliation:

1. Tsinghua University,Department of Computer Science and Technology,Beijing,China

2. NSFOCUS Inc.,Department of Innovation Center,Xi'an,China

3. NSFOCUS Inc.,Department of Innovation Center,Beijing,China

4. NSFOCUS FUYING LAB, NSFOCUS Inc.,Beijing,China

5. Tsinghua University,Department of Automation,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9657830/9657831/09658106.pdf?arnumber=9658106

Reference36 articles.

1. Enhanced telemetry for encrypted threat analytics

2. Learning and Classification of Malware Behavior

3. MalFinder: An Ensemble Learning-based Framework For Malicious Traffic Detection

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing VPN Traffic Recognition Through CatBoost Feature Extraction and Stacking Ensemble Learning;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Multi-Task Scenario Encrypted Traffic Classification and Parameter Analysis;Sensors;2024-05-12

3. A robust supervised machine learning based approach for offline-online traffic classification of software-defined networking;Peer-to-Peer Networking and Applications;2023-12-23

4. CBSeq: A Channel-Level Behavior Sequence for Encrypted Malware Traffic Detection;IEEE Transactions on Information Forensics and Security;2023

5. Few-Shot Malware Traffic Classification Method Using Network Traffic and Meta Transfer Learning;2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall);2022-09

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