Prabhakar L. Ramteke

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 detection systems for next-generation Software-Defined Networks.