GitHub

Botnet Detection with Machine Learning

This project develops a botnet detection system that identifies botnet-infected devices by analyzing network communication patterns, DNS queries, and traffic characteristics. It uses machine learning ...
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 ...
Frontiers

Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
Scientific Research Publishing

Alrawais, A., Alhothaily, A., Hu, C. and Cheng, X. (2020) An Efficient Reinforcement Learning-Based Botnet Detection Approach for IoT Networks. IEEE Internet of Things Journal ...

ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
IEEE

Efficient Hybrid Model for Botnet Detection Using Machine Learning

Abstract: In recent years, with the advancements in technology, threats to internet security have also been increased and botnets are among those threats. Botnet is a very critical and important area ...
IEEE

Features Representation of Botnet Detection Using Machine Learning Approaches

Abstract: Over the past ten years, Botnet has been an emerging threat that is increasing day by day & has gained popularity amongst researchers. Botnet detection is a very challenging task, so great ...