Threat Hunting
Threat hunting is the proactive search for malicious activity within a system, aiming to identify and mitigate threats before they cause significant damage. Current research emphasizes automation through machine learning models, including graph neural networks for analyzing system logs and large language models for extracting threat intelligence from unstructured data sources like the dark web and open-source reports. This field is crucial for improving cybersecurity defenses, particularly in complex environments like cloud systems and the Internet of Things, by enabling faster threat detection and response and informing the development of more effective security measures.
Papers
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