Packet Classification

Packet classification aims to rapidly and accurately identify the type and characteristics of network packets, crucial for tasks like security (intrusion detection, malware recognition), quality of service, and network management. Current research emphasizes leveraging machine learning, particularly deep learning and reinforcement learning, to improve classification speed and accuracy, often employing novel architectures like multibit tries and stacked models that process packet headers and payloads as images or embeddings from large language models. These advancements are vital for handling the increasing volume and complexity of network traffic, enhancing network security, and enabling efficient resource allocation in diverse applications, including IoT devices and cloud environments.

Papers

September 17, 2024

Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach
Kyle Stein, Andrew A. Mahyari, Guillermo Francia III, Eman El-Sheikh
Malware Detection Learning Approach Malware Representation Deep Packet Inspection Packet Classification Malware Feature

September 10, 2024

Ransomware Detection Using Machine Learning in the Linux Kernel
Adrian Brodzik, Tomasz Malec-Kruszyński, Wojciech Niewolski, Mikołaj Tkaczyk, Krzysztof Bocianiak, Sok-Yen Loui
Machine Learning Kernel Extension Cloud Environment Ransomware Attack Ransomware Detection Packet Classification

February 10, 2024

Sentinels of the Stream: Unleashing Large Language Models for Dynamic Packet Classification in Software Defined Networks -- Position Paper
Shariq Murtuza
Large Language Model Large Scale Language Model Link Stream Software Defined Mistral 7B Packet Classification

October 6, 2023

ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection
Irfan Khan, Yasir Ali Farrukh, Syed Wali
Intrusion Detection Network Intrusion Detection Grayscale Image Packet Level Packet Classification

August 26, 2023

Packet Header Recognition Utilizing an All-Optical Reservoir Based on Reinforcement-Learning-Optimized Double-Ring Resonator
Zheng Li, Xiaoyan Zhou, Zongze Li, Guanju Peng, Yuhao Guo, Lin Zhang
Optical Network Optical Computing Photonic Reservoir Packet Classification Modal Resonator

May 30, 2023

Design and implementation of intelligent packet filtering in IoT microcontroller-based devices
Gustavo de Carvalho Bertoli, Gabriel Victor C. Fernandes, Pedro H. Borges Monici, César H. de Araujo Guibo, Lourenço Alves Pereira, Aldri Santos
Product Design Practical Implementation Internet of Thing Device Resource Constrained Packet Classification Adaptive Defense

January 17, 2023

eBPF-based Working Set Size Estimation in Memory Management
Zhilu Lian, Yangzi Li, Zhixiang Chen, Shiwen Shan, Baoxin Han, Yuxin Su
Memory Management Size Estimation Packet Classification

May 17, 2022

Multibit Tries Packet Classification with Deep Reinforcement Learning
Hasibul Jamil, Ning Weng
Deep Reinforcement Learning Simple Classifier P Bit Communication Model Packet Classification

May 16, 2022

Many Field Packet Classification with Decomposition and Reinforcement Learning
Hasibul Jamil, Ning Yang, Ning Weng
Reinforcement Learning Decision Tree Microbial Decomposition Communication Model Packet Classification