ChainSmith: Automatically Learning the Semantics of Malicious Campaigns by Mining Threat Intelligence Reports

Author:

Zhu Ziyun,Dumitras Tudor

Publisher

IEEE

Cited by 71 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. MITREtrieval: Retrieving MITRE Techniques From Unstructured Threat Reports by Fusion of Deep Learning and Ontology;IEEE Transactions on Network and Service Management;2024-08

2. Actionable Cyber Threat Intelligence Using Knowledge Graphs and Large Language Models;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

3. Understanding Characteristics of Phishing Reports from Experts and Non-Experts on Twitter;IEICE Transactions on Information and Systems;2024-07-01

4. Semantic Ranking for Automated Adversarial Technique Annotation in Security Text;Proceedings of the 19th ACM Asia Conference on Computer and Communications Security;2024-07

5. Joint Extraction of Entities and Relationships from Cyber Threat Intelligence based on Task-specific Fourier Network;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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