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 ...
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

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 ...
Scientific Research Publishing

Ferrag, M.A., Maglaras, L., Moschoyiannis, S. and Janicke, H. (2020) Deep Learning for ...

ABSTRACT: The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of ...