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 ...
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 ...
IEEE

Evolutionary Deep-Learning Malware Classifiers

Abstract: Malware attacks remain a critical cyber-security concern, necessitating robust solutions for both individual users and organizations. Deep learning methods have become pervasive tools for ...
The Hacker News

Iranian Hackers Use DEEPROOT and TWOSTROKE Malware in Aerospace and Defense Attacks

Suspected espionage-driven threat actors from Iran have been observed deploying backdoors like TWOSTROKE and DEEPROOT as part of continued attacks aimed at aerospace, aviation, and defense industries ...
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 ...