IEEE

Malware Classification Using Deep Learning

Abstract: Malware detection and classification is a critical aspect of cybersecurity, given the increasing sophistication and prevalence of malicious software. In this study, we propose a novel ...
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

Decades-old ‘Finger’ protocol abused in ClickFix malware attacks

The decades-old "finger" command is making a comeback,, with threat actors using the protocol to retrieve remote commands to execute on Windows devices. In the past, people used the finger command to ...
IEEE

Deep Learning for Anomaly Detection: A CNN-LSTM Autoencoder Approach

Abstract: Due to the significant growth of video surveillance installations in recent years, video anomaly detection has attracted considerable interest in the security sector. Detecting anomalies in ...
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 ...