A heterogeneous graph-based approach for cyber threat attribution using threat intelligence-Reference-Cited by-同舟云学术

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A heterogeneous graph-based approach for cyber threat attribution using threat intelligence

Published:2024-02-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2024 16th International Conference on Machine Learning and Computing
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Author:

Duan Junting¹^ORCID,Luo, Yujie¹^ORCID,Zhang Zhicheng¹^ORCID,Peng Jianjian¹^ORCID

Affiliation:

1. School of Computer Science and Technology, University of Electronic Science and Technology of China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3651671.3651707

Reference32 articles.

1. Cyber Threat Intelligence – Issue and Challenges

2. D. Bianco. 2013. The Pyramid of Pain. Enterprise Detection & Response (2013). http://detect-respond.blogspot.com/2013/03/the-pyramid-of-pain.html

3. The diamond model of intrusion analysis;Caltagirone Sergio;Threat Connect,2013

4. CYBOX. 2020. CYBOX Sample. Online. http://cyboxproject.github.io/sample

5. Advanced Persistent Threat;Daly K.;Usenix,2009

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1. On the Use of Heterogeneous Graph Neural Networks for Detecting Malicious Activities: a Case Study with Cryptocurrencies;4th International Workshop on OPEN CHALLENGES IN ONLINE SOCIAL NETWORKS;2024-09-10

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