IEEE

Android Malware Detection Using Deep Learning

Abstract: The users got more benefits due to the rapid growth of android devices, it also increased the risk of malware attacks. Traditional methods fall short in identifying new threats, as the ...
IEEE

Supervised Learning Approaches in Android Malware Detection: Survey and Analysis

Abstract: The exponential growth of Android-based mobile applications has led to a parallel surge in sophisticated malware, necessitating more adaptive and intelligent detection strategies. While ...
GitHub

malware-detection-open-source

This repository offers a comprehensive collection of official resources, detailed guides, and reference materials for Trojan Killer software on Windows PCs. It supports users with setup, ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection ...

1 Department of General Surgery, Shangyu People’s Hospital of Shaoxing, Shaoxing, Zhejiang, China 2 Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, School of ...
Bleeping Computer

Google exposes BadAudio malware used in APT24 espionage campaigns

China-linked APT24 hackers have been using a previously undocumented malware called BadAudio in a three-year espionage campaign that recently switched to more sophisticated attack methods. Since 2022, ...
Bleeping Computer

RondoDox botnet malware now hacks servers using XWiki flaw

The RondoDox botnet malware is now exploiting a critical remote code execution (RCE) flaw in XWiki Platform tracked as CVE-2025-24893. On October 30, the U.S. Cybersecurity and Information Security ...