From statistical‐to machine learning‐based network traffic prediction

I Lohrasbinasab, A Shahraki… - Transactions on …, 2022 - Wiley Online Library
Nowadays, due to the exponential and continuous expansion of new paradigms such as
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …

Encrypted network traffic classification using self-supervised learning

MS Towhid, N Shahriar - 2022 IEEE 8th International …, 2022 - ieeexplore.ieee.org
Network traffic classification is used in many applications including network provisioning,
malware detection, resource management, and so on. In modern networks, use of encrypted …

Explainable artificial intelligence for feature selection in network traffic classification: A comparative study

P Khani, E Moeinaddini, ND Abnavi… - Transactions on …, 2024 - Wiley Online Library
Over the past decade, there has been a growing surge of interest in leveraging artificial
intelligence and machine learning models to address real‐world challenges within the field …

Bridging Network and Parallel I/O Research for Improving Data-Intensive Distributed Applications

D Biswas, S Neuwirth, AK Paul… - 2021 IEEE Workshop on …, 2021 - ieeexplore.ieee.org
The rapidly evolving scene of emerging workloads poses a challenge to the High
Performance Computing community in terms of communication and I/O. Significant …

Generic Multi-modal Representation Learning for Network Traffic Analysis

L Gioacchini, I Drago, M Mellia, ZB Houidi… - arXiv preprint arXiv …, 2024 - arxiv.org
Network traffic analysis is fundamental for network management, troubleshooting, and
security. Tasks such as traffic classification, anomaly detection, and novelty discovery are …

[PDF][PDF] Detecting malicious IoT traffic using machine learning techniques

B Jayaraman, M Thai, A Anand… - Romanian Journal of …, 2023 - rria.ici.ro
Internet of Things (IoT) generates huge amount of data, that needs to communicate between
the IoT enabled devices. These communications are vulnerable to security attacks and are …

FEAML: A Mobile Traffic Classification System with Feature Expansion and Autonomous Machine Learning

Q Yang, X Kong, Y Xiao, Y Lin, R Wen, H Qi - International Conference on …, 2023 - Springer
Network traffic classification is a crucial component in network protocol and application
identification, playing a pivotal role in various network and security-related activities …

WiFi Interference-Based Adversarial Attacks on NTC Using CSI Sensing

J Li, D Mishra, D Krishnaswamy… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
With the emergence of next generation networks, Network Traffic Classification (NTC) has
seen greater importance in network management and security. Recently, Channel State …