DR. O. E. Taylor

A Privacy-Preserving Explainable Artificial Intelligence Hybrid Framework for Abnormal Network Traffic Identification and Intelligent Threat Detection

Abstract The rapid evolution of cyber threats, the widespread adoption of encrypted communications, and the increasing complexity of enterprise, cloud, edge, and Internet of Things (IoT) environments have exposed the limitations of conventional intrusion detection systems in accu...

A Hybrid Explainable Artificial Intelligence Framework for Deepfake Attribution and Cross-Platform Disinformation Campaign Tracking

Abstract The rapid advancement of Generative Artificial Intelligence (GenAI) has accelerated the creation and dissemination of highly realistic deepfakes, posing significant cybersecurity threats through identity fraud, misinformation, political manipulation, social engineering,...

A Privacy-Preserving Explainable Artificial Intelligence Hybrid Framework for Abnormal Network Traffic Identification and Intelligent Threat Detection

Abstract The rapid evolution of cyber threats, the widespread adoption of encrypted communications, and the increasing complexity of enterprise, cloud, edge, and Internet of Things (IoT) environments have exposed the limitations of conventional intrusion detection systems in accu...

A Privacy-Preserving Explainable Artificial Intelligence Hybrid Framework for Abnormal Network Traffic Identification and Intelligent Threat Detection

Abstract The rapid evolution of cyber threats, the widespread adoption of encrypted communications, and the increasing complexity of enterprise, cloud, edge, and Internet of Things (IoT) environments have exposed the limitations of conventional intrusion detection systems in accu...