Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

An information stealer called VoidStealer uses a new approach to bypass Chrome’s Application-Bound Encryption (ABE) and extract the master key for decrypting sensitive data stored in the browser. The ...

A newly uncovered malware campaign is combining ClickFix delivery with AI generated evasion techniques to steal enterprise user accounts and passwords. The attacks are designed to provide intruders ...

The China-backed threat group is targeting AWS, Google, Azure, and Alibaba cloud environments and using typosquatting to ...

Machine learning is helping cyber teams process telemetry at scale to more quickly identify behavioral anomalies that might ...

Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...

Security researchers McAfee uncovered a major malware campaign leveraging Generative Artificial Intelligence (GenAI) to infect as many people with cryptocurrency miners as possible. In an in-depth ...

Iranian government hackers are using Telegram as a way to steal data from hacked dissidents, opposition groups, and journalists who oppose the regime around the world, according to an FBI alert ...

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.