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Research questionHow can ransomware analysis adaptively select modalities to reduce cost and latency without losing detection and family-attribution accuracy?Applying static, dynamic, and memory analysis to every sample can waste computation and delay verdicts. The central difficulty is deciding when additional evidence is necessary without weakening ransomware detection or family attribution.
AI
Inference Optimization
Multi-agent Systems
Multimodal Models
Technology
Latest papersRecent research connected to this question, newest first.Cost-Aware Hierarchical Multi-Agent Ransomware Detection and Family AttributionThe source evaluates a hierarchical multi-agent system that begins with static analysis and selectively adds dynamic or memory analysis when confidence is insufficient or agents disagree. It reports binary detection and multiclass family-attribution results, modality-processing costs, latency, and routing behavior; a locally deployed language model is used only for selected difficult cases.research paper · Sep 4, 2026
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