Abstract : The advancement of 5G networks and AI technologies has introduced new cyber security challenges for wireless communication system. These challenges include potential vulnerabilities in network infrastructure, increased attack surface, and need for more sophisticated threat detection and mitigation strategies to protect sensitive data and privacy. Deep learning has certainly made strides in enhancing attack detection methods.
Hung-Jen Liao, Chun-Hung Richard Lin, Ying-Chih Lin, and Kuang-YuanTong. Intrusion detection system: A comprehensive review. Journal of Network and Computer Applications
Benjamin Sanchez-Lengeling, Emily Reif, Adam Pearce, and Alexander B. Wiltschko. An introduction to Graph Neural Networks.
M. Gori, G. Monfardini, and F. Scarselli. A new model for learning in graph domains. IEEE International Joint Conference on Neural Networks,
Miquel Ferriol-Galmés, José Suárez-Varela, Jordi Paillissé, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, and Albert Cabellos-Aparicio. Building a Digital Twin for network optimization using Graph Neural Networks. Computer Networks: The International Journal of Computer and Telecommunications Networking, Volume 217
Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, and Albert Cabellos-Aparicio. Unveiling the potential of Graph Neural Networks for network modelling and optimization in SDN. Proceedings of the ACM Symposium on SDN Research (SOSR).
