Moving Targets: Addressing Concept Drift in Supervised Models for Hacker Communication Detection-Reference-Cited by-同舟云学术

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Moving Targets: Addressing Concept Drift in Supervised Models for Hacker Communication Detection

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)
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Author:

Queiroz Andrei Lima,Keegan Brian,Mckeever Susan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9136807/9138848/09138894.pdf?arnumber=9138894

Cited by 5 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. The Art of Cybercrime Community Research;ACM Computing Surveys;2024-02-23

2. PostCog: A tool for interdisciplinary research into underground forums at scale;2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2022-06

3. Implementation of Machine Learning Techniques for Analyzing Crime and Dark Web Data;Advances in Digital Crime, Forensics, and Cyber Terrorism;2022-05-13

4. Threats from the Dark: A Review over Dark Web Investigation Research for Cyber Threat Intelligence;Journal of Computer Networks and Communications;2021-12-20

5. Systemization of Vulnerability Information by Ontology for Impact Analysis;2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C);2021-12

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