Security is Readily to Interpret: Quantitative Feature Analysis for Botnet Encrypted Malicious Traffic-Reference-Cited by-同舟云学术

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Security is Readily to Interpret: Quantitative Feature Analysis for Botnet Encrypted Malicious Traffic

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Chen Long¹,Wang Qiaojuan²,Song Yanqing³,Chen Jianguo⁴

Affiliation:

1. Beihang University,QI-AN XIN Group China Applied Sciences and Technologies Research,Beijing Key Laboratory of Network Technology

2. Innovation Technology Research Institute,Beijing Topsec Network Security Technology Co.

3. China Applied Sciences and Technologies Research Beijing Aerospace Information Sciences and Technologies

4. Hebei Seismological Observatories China Applied Sciences and Technologies Research Beijing Aerospace Information Sciences and Technologies,Geophysical Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10196792/10196808/10197036.pdf?arnumber=10197036

Reference20 articles.

1. Traffic models in broadband networks

2. MBTree: Detecting Encryption RATs Communication Using Malicious Behavior Tree

3. Modeling Internet Traffic: Performance Limits

4. A Unified Approach to Interpreting Model Predictions;lundberg;NIPS’17 Proceedings of the 31st International Conference on Neural Information Processing Systems,2017

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