Security researchers at ReversingLabs have discovered a novel attack that used compiled Python code to evade detection. According to ReversingLabs reverse engineer Karlo Zanki, this could be the first ...

Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments. A real-world dataset ...

System logs are run-time significant events of computer systems recorded by software. By analyzing the system logs, a lot of important information and issues can be detected promptly. Log anomaly ...

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...