Time-distributed feature learning in network traffic classification for internet of things

YSK Manjunath, S Zhao… - 2021 IEEE 7th World …, 2021 - ieeexplore.ieee.org
The plethora of Internet of Things (IoT) devices leads to explosive network traffic. The
network traffic classification (NTC) is an essential tool to explore behaviours of network …

Multilevel identification and classification analysis of Tor on mobile and PC platforms

L Wang, H Mei, VS Sheng - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
In digitalized and automated systems, more and more intelligent devices have become an
import part of industrial Internet of Things (IIOT). However, the lack of security in IIOT makes …

A deep learning approach for IoT traffic multi-classification in a smart-city scenario

A Hameed, J Violos, A Leivadeas - IEEe Access, 2022 - ieeexplore.ieee.org
As the number of Internet of Things (IoT) devices and applications increases, the capacity of
the IoT access networks is considerably stressed. This can create significant performance …

A Lightweight Flow Feature‐Based IoT Device Identification Scheme

R Du, J Wang, S Li - Security and Communication Networks, 2022 - Wiley Online Library
Internet of Things (IoT) device identification is a key step in the management of IoT devices.
The devices connected to the network must be controlled by the manager. For this purpose …

A multitask learning-based network traffic prediction approach for SDN-enabled industrial Internet of Things

S Wang, L Nie, G Li, Y Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid advance of industrial Internet of Things (IIoT), to provide flexible access for
various infrastructures and applications, software-defined networks (SDNs) have been …

Transformer-based device-type identification in heterogeneous IoT traffic

Y Luo, X Chen, N Ge, W Feng… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Due to the heterogeneity of Internet of Things (IoT) devices and the diversity of IoT
communication protocols, it is challenging to model the communication behaviors of IoT …

IoTDevID: A behavior-based device identification method for the IoT

K Kostas, M Just, MA Lones - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Device identification (DI) is one way to secure a network of Internet of Things (IoT) devices,
whereby devices identified as suspicious can subsequently be isolated from a network. In …

[PDF][PDF] Machine Learning-Based Traffic Classification in Software-Defined Networking: A Systematic Literature Review, Challenges, and Future Research Directions.

D Nunez-Agurto, W Fuertes, L Marrone… - … International Journal of …, 2022 - iaeng.org
The growing diversification of Internet applications and the continuous evolution of network
infrastructure with emerging technologies have complicated network management. Network …

IoTTFID: an incremental IoT device identification model based on traffic fingerprint

Q Hao, Z Rong - IEEE Access, 2023 - ieeexplore.ieee.org
Driven by 5G communication technology, IoT devices are widely deployed in various
scenarios to provide automated services. However, a large number of IoT devices cannot …

Intelligent and application-aware network traffic prediction in smart access gateways

J Zhang, F Ye, Y Qian - IEEE Network, 2020 - ieeexplore.ieee.org
Network measurement and management are critical to the future smart network QoS and
enhancing user QoE. Accurate prediction of network status can support network …