Using Machine Learning to Cluster Malicious Network Flows From Gh0st RAT Variants

Cybercriminals have become more and more creative and efficient in their efforts to successfully bypass network security. Reports of unauthorized network intrusions that have compromised enterprise security, resources, and data, plague experts on a day-to-day basis, and will continue to do so Read More …

US-CERT study predicts machine learning, transport systems to become security risks

The Carnegie-Mellon University’s Software Engineering Institute has nominated transport systems, machine learning, and smart robots as needing better cyber-security risk and threat analysis. That advice comes in the institute’s third Emerging Technology Domains Risk Survey, a project it has handled Read More …