Advanced malware detection employs a range of techniques to detect and analyse malware, including behavioural analysis, machine learning, signature-based detection, sandboxing, and more.These ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

The research is part of Microsoft's recent efforts of improving malware detection using machine learning techniques. STAMINA used a technique called deep learning.

Machine learning-based malware scanning works in a somewhat similar manner—the algorithms train on vast catalogues of malicious programs to learn what to look for.

Six crimeware families are using some new algorithm tricks to escape detection as they carry out global attacks, according to findings from security company Damballa Inc. The crimeware families ...

By Dr. May Wang, CTO of IoT Security at Palo Alto Networks and the Co-founder, Chief Technology Officer (CTO), and board member of Zingbox - Why has machine learning become so vital in cybersecurity?