DDos prevention in IoT networks by analyzing source-side inter-bot traffic using deep learning techniques

The novelty of the work is the prevention of DDoS attacks by detecting the initial phase of the attack before it harms the victim by using attention-based deep learning models to better analyze the sequence of traffic exchange among bots within the source network.