US EditionResearch on Insider Threat Detection Based on Personalized Federated Learning and Behavior Log Analysis
2 Articles
2 Articles
Research on insider threat detection based on personalized federated learning and behavior log analysis
As the cybersecurity landscape becomes increasingly challenging, insider threat detection has emerged as a critical research area. Traditional methods for detecting insider threats, such as Random Forest and Isolation Forest, suffer from high computational resource consumption, poor feature representation, and sensitivity to noise. While machine learning methods offer certain advantages, they still face challenges in complex data scenarios. This…
In companies, the flood of data continues to increase and in parallel, data security risks are also growing. A new agent-based security solution bridges the gap between data identification, classification and enforcement in real time, eliminating manual bottlenecks and enabling scalable data security.
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