Malicious Internet Entity Detection Using Local Graph Inference-Reference-Cited by-同舟云学术

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Malicious Internet Entity Detection Using Local Graph Inference

Published:2024 Issue: Volume:19 Page:3554-3566
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Mandlík Šimon¹^ORCID,Pevný Tomáš¹^ORCID,Šmídl Václav¹^ORCID,Bajer Lukáš²^ORCID

Affiliation:

1. Department of Computer Science, Artificial Intelligence Center, Czech Technical University, Prague, Czech Republic

2. Cisco Systems, Prague, Czech Republic

Funder

Czech Grant Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10418120.pdf?arnumber=10418120

Reference66 articles.

1. Highly predictive blacklisting;Zhang;Login Usenix Mag.,2008

2. Building a dynamic reputation system for DNS;Antonakakis

3. EXPOSURE: Finding malicious domains using passive DNS analysis;Bilge

4. Optimized invariant representation of network traffic for detecting unseen malware variants;Bartos

5. TESSERACT: Eliminating experimental bias in malware classification across space and time;Pendlebury;arXiv:1807.07838,2018

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. Propagating Threat Scores with a TLS Ecosystem Graph Model Derived by Active Measurements;2024 8th Network Traffic Measurement and Analysis Conference (TMA);2024-05-21

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