Malware Detection Based on API Call Sequence Analysis: A Gated Recurrent Unit–Generative Adversarial Network Model Approach

Enhancing Security in 5G and Future 6G Networks: Machine Learning Approaches for Adaptive Intrusion Detection and Prevention

Hierarchical Federated Learning-Based Intrusion Detection for In-Vehicle Networks

Advancements in Malware Evasion: Analysis Detection and the Future Role of AI

Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques

Investigating the Influence of Special On–Off Attacks on Challenge-Based Collaborative Intrusion Detection Networks

RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks

Self-Replicating Model for Efficient Malware Pattern and Node Behavior Analysis in Network Intrusion Detection

Toward Generative AI-Based Intrusion Detection Systems for the Internet of Vehicles (IoV)

Windows Based Data Sets for Evaluation of Robustness of Host Based Intrusion Detection Systems (IDS) to Zero-Day and Stealth Attacks