Transformer-based deep learning framework for network intrusion detection with context-aware traffic pattern modeling

This paper introduces a context aware transformer based network intrusion detection framework using publicly available benchmark traffic data. The framework introduces three domain-specific modifications to the standard transformer encoder, a partitioned multi-head attention mechanism with separate