An Adversarial Learning-based Tor Malware Traffic Detection Model
Author:
Affiliation:
1. School of Cyber Science & Engineering, Southeast University,Nanjing,China,211189
2. Institute of Science and Engineering, Kanazawa University,Kakuma, Kanazawa,Japan,920-1192
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001131.pdf?arnumber=10001131
Reference20 articles.
1. Black-box Adversarial Machine Learning Attack on Network Traffic Classification
2. DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting
3. Rallying Adversarial Techniques against Deep Learning for Network Security
4. Towards deep learning models resistant to adversarial attacks;madry;Stat,2017
5. Characterization of Tor Traffic using Time based Features
Cited by 1 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. Classification of VPN/NoVPN and Tor/NoTor Using CIC-Darknet2020 Dataset in Cybersecurity: Utilizing Simple and Complex Models;Fırat Üniversitesi Mühendislik Bilimleri Dergisi;2023-09-01
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