There are a few machine learning techniques which can be employed against cyber threats, including classification based techniques to detect when anomalies occur (although not the location of the ...

The dynamic nature of AI-driven ransomware poses significant challenges for detection and defense. Traditional signature-based detection methods are largely ineffective against these adaptive threats.

That’s the way that legacy signature-based malware detection works. Machine learning can intelligently identify previously unknown forms of malware and attacks to help protect organizations from ...

That’s the way that legacy signature-based malware detection works. Machine learning can intelligently identify previously unknown forms of malware and attacks to help protect organizations from ...

More information: Islam Elgarhy et al, XAI-Based Accurate Anomaly Detector That Is Robust Against Black-Box Evasion Attacks for the Smart Grid, Applied Sciences (2024). DOI: 10.3390/app14219897 ...

A mysterious signal, a missing container, and a new breed of threat that strikes and vanishes before tools can react: how a ...

How to Protect Machine Learning Models Defenders can use methods that can prevent, complicate, or detect attacks to protect ML systems. For example, when adding benign strings to a malware file, a ...