DIDarknet: A Contemporary Approach to Detect and Characterize the Darknet Traffic using Deep Image Learning
Author:
Affiliation:
1. Canadian Institute for CybersecurityUniversity of New Brunswick, Canada
2. Canadian Institute for Cybersecurity and University of New Brunswick, Canada
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3442520.3442521
Reference75 articles.
1. Forensic Analysis of Tor Browser: A Case Study for Privacy and Anonymity on the Web;Abid Khan Jadoon Waseem Iqbal;Forensic Science International,2019
2. ToRank: Identifying the most influential suspicious domains in the Tor network;Al-Nabki Mhd Wesam;Expert Systems With Applications,2019
Cited by 70 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. Evolving techniques in cyber threat hunting: A systematic review;Journal of Network and Computer Applications;2024-12
2. DarkMor: A framework for darknet traffic detection that integrates local and spatial features;Neurocomputing;2024-11
3. Multi-view multi-label network traffic classification based on MLP-Mixer neural network;Computer Networks;2024-11
4. XAITrafficIntell: Interpretable Cyber Threat Intelligence for Darknet Traffic Analysis;Journal of Network and Systems Management;2024-09-05
5. Incremental federated learning for traffic flow classification in heterogeneous data scenarios;Neural Computing and Applications;2024-08-12
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
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3