procSniper: A Real-Time Lightweight Ransomware Behavioral Detection Framework Using Local Inference Random Forest Model and Behavioral Telemetry
-
Updated
Mar 2, 2026 - Go
procSniper: A Real-Time Lightweight Ransomware Behavioral Detection Framework Using Local Inference Random Forest Model and Behavioral Telemetry
Omega Walls — a deterministic runtime security layer for RAG and AI agents that detects prompt injection, tool abuse, and data exfiltration via cumulative risk modeling.
Lightweight Linux EDR prototype using eBPF and SQLite to detect suspicious system behaviors through kernel event correlation.
Protect applications by managing untrusted content with a stateful runtime that enforces risk states and controls actions in RAG and agent systems.
Personal learning repository for SAE batch processing, threat detection, and security analytics model development
ardware-gated ransomware protection: TPM-anchored access, device fingerprinting, kernel-level monitoring, and behavioral detection. Windows-ready
User-space Linux prototype exploring behavioral filesystem monitoring, containment, and recovery semantics.
Add a description, image, and links to the behavioral-detection topic page so that developers can more easily learn about it.
To associate your repository with the behavioral-detection topic, visit your repo's landing page and select "manage topics."