Detection for Software Defined Networking with Machine Learning

af Muthamil Sudar

As the use of Software Defined Networking (SDN) becomes increasingly prevalent, securing these dynamic and programmable network architectures becomes paramount. The "Design of Intrusion Detection System for Software Defined Networking Using Machine Learning Algorithms" offers a groundbreaking solution to safeguard SDN environments against potential threats and attacks. This innovative Intrusion Detection System (IDS) leverages the power of machine learning algorithms to continuously monitor and ... (Læs mere)