Dharmesh Dhangar

TAFS-Net: A Transformer Attention-Based Feature Selection and BiLSTM Framework for Intelligent Cloud DDoS Attack Detection Using the BCCC-Packet-2024 Dataset

TAFS-Net is proposed, an adaptive deep learning framework that integrates a Transformer-based attention mechanism for dynamic feature selection with a Bidirectional Long Short-Term Memory network for traffic classification that contributes an intelligent and scalable DDoS detection solution suitable for deployment in next-generation cloud security infrastructures.