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 …
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 …
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 …
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 …
Performance Computing community in terms of communication and I/O. Significant …
Generic Multi-modal Representation Learning for Network Traffic Analysis
Network traffic analysis is fundamental for network management, troubleshooting, and
security. Tasks such as traffic classification, anomaly detection, and novelty discovery are …
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 …
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 …
identification, playing a pivotal role in various network and security-related activities …
WiFi Interference-Based Adversarial Attacks on NTC Using CSI Sensing
With the emergence of next generation networks, Network Traffic Classification (NTC) has
seen greater importance in network management and security. Recently, Channel State …
seen greater importance in network management and security. Recently, Channel State …