AI RESEARCH

MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining

arXiv CS.AI

ArXi:2605.11034v1 Announce Type: cross We present MambaNetBurst, a compact tokenizer-free byte-level sequence classifier for network burst classification based on a Mamba-2 backbone. In contrast to most recent strong traffic-classification and intrusion-detection approaches, our method operates directly on raw packet bytes, avoids tokenization, patching, and heavy engineered multimodal representations, and does not require any self-supervised pre-