The rapid expansion of the internet has led to a corresponding surge in malicious online
activities, posing significant threats to users and organizations. Cybercriminals exploit …

Machine learning techniques are essential for processing the vast volume of IoT data
efficiently, improving performance, and managing IoT applications effectively. Machine …

The rapid expansion of Internet of Things (IoT) networks has made securing devices against
botnet attacks a critical challenge. This research introduces a novel feature selection-driven …

Ransomware remains a pervasive threat to Android devices, with its ability to encrypt critical
data and demand ransoms causing significant disruptions to users and organizations alike …

This research addresses the escalating threats to industrial control systems by introducing a
novel approach that combines deep learning for feature selection with a robust ensemble …

Introduction: artificial intelligence (AI) and Machine Learning have become buzzwords lately
due to technological changes and data quality testing, especially in shape and finish …

The continuous evolution of malware poses a significant challenge in cybersecurity,
adapting to technological advancements despite implemented security measures. This …

Introduction: phishing involves cybercriminals creating fake websites that appear to be real
sites with the aim of obtaining personal information. With the increasing sophistication of …

The pervasive threat of malware presents a significant challenge to cybersecurity efforts
worldwide, necessitating advanced and adaptive detection mechanisms. Traditional …

The increasing prevalence of cybersecurity threats has highlighted the urgent need for
Higher Education Institutions (HEIs) to prioritize and enhance their cybersecurity measures …