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Found 2 papers, 1 papers with code
Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence
Extracting cybersecurity entities such as attackers and vulnerabilities from unstructured network texts is an important part of security analysis.
Threat Detection for General Social Engineering Attack Using Machine Learning Techniques
This paper explores the threat detection for general Social Engineering (SE) attack using Machine Learning (ML) techniques, rather than focusing on or limited to a specific SE attack type, e. g. email phishing.
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