AI RESEARCH

Building a Robust Risk-Based Access Control System to Combat Ransomware's Capability to Encrypt

arXiv CS.LG

ArXi:2601.16795v2 Announce Type: replace-cross Ransomware core capability, unauthorized encryption, demands controls that identify and block malicious cryptographic activity without disrupting legitimate use. We present a probabilistic, risk-based access control architecture that couples machine learning inference with mandatory access control to regulate encryption on Linux in real time. The system builds a specialized dataset from the native ftrace framework using the function_graph tracer, yielding high-resolution kernel-function execution traces augmented with resource and I/O counters.