Nature

Machine Learning Techniques for Android Malware Detection

Machine learning techniques for Android malware detection have evolved markedly over the past decade, offering sophisticated mechanisms to identify malicious applications with high accuracy and low ...
Nature

Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms

Internet of Vehicles (IoV) is a multi-node network which switches data in an open and wireless environment. Numerous interaction activities occur among IoV entities to share significant information, ...
Opinion
Security BoulevardOpinion

When Malware Becomes Unique on Every Machine, Detection Stops Being a Strategy

The worm that writes its own attack for every machine it encounters is not a warning about what is coming. It is a demonstration of what is already here. The question is whether the industry's ...
CNET

Malware Has Gotten Smarter. Here's How Your Antivirus Has, Too

Antivirus software used to hunt for known malware, but now it’s predicting suspicious behavior before an attack fully lands.
EurekAlert!

Smarter machine-learning models improve phishing website detection

Febraury 10, 2026—Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organisations flag more ...
Infosecurity-magazine.com

Malicious Machine Learning Model Attack Discovered on PyPI

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...