This research presents a new Transformer-based deep learning malware detection system for Portable Executables on Windows. The system analyzed a dataset of 11,000 executables, containing 8,700 malware ...

Detection of malware in a file by using the visual properties in the malware files and their families by using the Vision-Based analysis for identification of malware in the files. Vision-Based ...

Malware represents a real threat to information systems, because of the damage it causes. This threat is growing today, as these programs take on more complex forms. This means they escape traditional ...

Malware-detection-Project-using-Deep-Learning-Algorithms. The aim of this project was to build algorithms based on Deep Learning techniques, that detects malware. Malware is an undesired and harmful ...

In the fast-paced and ever-evolving landscape of cybersecurity, the persistent threat of malware looms larger than ever. Traditional methods of malware detection, reliant on static signature-based ...

A new approach for malware classification combines deep learning with fuzzy hashing. Fuzzy hashes identify similarities among malicious files and a deep learning methodology inspired by natural ...

Cloud-based content management provider Box has announced a new “deep scan” functionality that checks files as they are uploaded to identify sophisticated malware and avert attacks.

This research presents a new Transformer-based deep learning malware detection system for Portable Executables on Windows. The system analyzed a dataset of 11,000 executables, containing 8,700 malware ...