Crypto-ransomware detection using machine learning models in file-sharing network scenario with encrypted traffic. (arXiv:2202.07583v1 [cs.CR])

Ransomware is considered as a significant threat for most enterprises since
the past few years. In scenarios wherein users can access all files on a shared
server, one infected host can lock the access to all shared files. We propose a
tool to detect ransomware infection based on file-sharing traffic analysis. The
tool monitors the traffic exchanged between the clients and the file servers
and using machine learning techniques it searches for patterns in the traffic
that betray ransomware actions …

crypto detection encrypted machine machine learning machine learning models network ransomware ransomware detection scenario sharing traffic