A Knowledge Distillation-Driven Lightweight CNN Model for Detecting Malicious Encrypted Network Traffic-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Knowledge Distillation-Driven Lightweight CNN Model for Detecting Malicious Encrypted Network Traffic

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Wen Yuecheng¹,Han Xiaohui²,Zuo Wenbo¹,Liu Weihua¹

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China

2. Quancheng Provincial Laboratory,Jinan,China

Funder

Qilu University of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650873.pdf?arnumber=10650873

Reference34 articles.

1. CYBER SECURITY: CONTEMPORARY CYBER THREATS AND NATIONAL STRATEGIES

2. When a RF beats a CNN and GRU, together—A comparison of deep learning and classical machine learning approaches for encrypted malware traffic classification

3. BlindBox

4. FLAGB: Focal Loss based Adaptive Gradient Boosting for Imbalanced Traffic Classification

5. Machine-Learning Based Prediction of Multiple Types of Network Traffic

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP