Due to the rising dependency on digital technology, cybersecurity has emerged as a more
prominent field of research and application that typically focuses on securing devices …

Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …

With the increasing sophistication of cyber threats, the integration of machine learning (ML)
techniques in network security has become imperative for detecting and mitigating evolving …

The proliferation of cyber threats necessitates innovative defense mechanisms, and this
paper presents a comprehensive review and analysis of AI-enabled approaches in …

The fusion of artificial intelligence (AI) with cybersecurity represents a paradigm shift in our
efforts to safeguard digital assets against a dynamic threat landscape. This manuscript …

In the ever-evolving landscape of cybersecurity, the proliferation of artificial intelligence (AI)
technologies introduces both promising advancements and daunting challenges. This paper …

Today's world is highly network interconnected owing to the pervasiveness of small personal
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …

Machine learning has become widely adopted as a strategy for dealing with a variety of
cybersecurity issues, ranging from insider threat detection to intrusion and malware …

Artificial intelligence has the potential to address many societal, economic, and
environmental challenges, but only if AI-enabled gadgets are kept secure. Many artificial …

The cybersecurity concerns get increasingly intricate as the digital world progresses. In light
of the increasing complexity of cyber threats, it is imperative to develop and implement …