Data transformation schemes for cnn-based network traffic analysis: A survey

J Krupski, W Graniszewski, M Iwanowski - Electronics, 2021 - mdpi.com
The enormous growth of services and data transmitted over the internet, the bloodstream of
modern civilization, has caused a remarkable increase in cyber attack threats. This fact has …

An automatic and efficient malware traffic classification method for secure Internet of Things

X Zhang, L Hao, G Gui, Y Wang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Malware traffic classification (MTC) plays an important role in cyber security and network
resource management for the secure Internet of Things (IoT). Many deep learning (DL) …

A deep subdomain adaptation network with attention mechanism for malware variant traffic identification at an iot edge gateway

X Hu, C Zhu, G Cheng, R Li, H Wu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The prevailing of malware variants in ubiquitous Internet of Things (IoT) devices causes
enormous losses. Accurate and timely identification of malware variant traffic at an IoT edge …

An Accuracy-Improved Fixed-Width Booth Multiplier Enabling Bit-Width Adaptive Truncation Error Compensation

SN Tang, JC Liao, CK Chiu, PT Ku, YS Chen - Electronics, 2021 - mdpi.com
Fixed-width Booth multipliers (FWBMs) generate a product with the same bit width as the
operand and have been extensively employed in many digital systems. Various truncation …

Adaptive Convolutional Neural Network Structure for Network Traffic Classification

Z Han, J Guan, Y Yao, S Yao - 2021 IEEE 27th International …, 2021 - ieeexplore.ieee.org
Network traffic classification has been highly concerned by academia and industry for
decades. In recent years, deep learning has attracted many scholars to use it in network …

A model of encrypted network traffic classification that trades off accuracy and efficiency

L Yu, J Yuan, J Zheng, N Yang - 2024 - researchsquare.com
As the internet industry evolves, the need for effective encrypted traffic classification (ETC)
becomes vital for network management and cybersecurity. Meanwhile, existing deep …

Special Issue on Application of Electronic Devices on Intelligent System

TH Meen, CC Kuo - Electronics, 2021 - mdpi.com
In a modern technological society, electronic engineering and design innovations are both
academic and practical engineering fields that involve systematic technological …

Deep Learning vs. Traditional Approaches to Malware Traffic Classification–A Comparative Study

J Krupski, D Rybicki, W Graniszewski… - Progress in Image …, 2022 - Springer
In the paper, decision trees and Bayes classifiers are applied to detect malware traffic in
computer networks and compared with the state-of-the-art convolutional neural network …