Artificial Intelligence for Malware Detection in Software-Defined Networks: A Comprehensive Systematic Literature Review
The review outlines future research directions emphasizing lightweight and explainable AI models, graph neural networks, federated and continual learning, adaptive hybrid intelligence, and standardized real-world evaluation frameworks to support the development of accurate, scalable, robust, and deployable malware dete...