Towards the deployment of machine learning solutions in network traffic classification: A systematic survey

F Pacheco, E Exposito, M Gineste… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Traffic analysis is a compound of strategies intended to find relationships, patterns,
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …

Machine learning models for secure data analytics: A taxonomy and threat model

R Gupta, S Tanwar, S Tyagi, N Kumar - Computer Communications, 2020 - Elsevier
In recent years, rapid technological advancements in smart devices and their usage in a
wide range of applications exponentially increases the data generated from these devices …

A survey on controller area network reverse engineering

A Buscemi, I Turcanu, G Castignani… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Controller Area Network (CAN) is a masterless serial bus designed and widely used for the
exchange of mission and time-critical information within commercial vehicles. In-vehicle …

Protocol reverse-engineering methods and tools: a survey

Y Huang, H Shu, F Kang, Y Guang - Computer Communications, 2022 - Elsevier
The widespread utilization of network protocols raises many security and privacy concerns.
To address them, protocol reverse-engineering (PRE) has been broadly applied in diverse …

[HTML][HTML] A survey of automatic protocol reverse engineering approaches, methods, and tools on the inputs and outputs view

BD Sija, YH Goo, KS Shim, H Hasanova… - Security and …, 2018 - hindawi.com
A network protocol defines rules that control communications between two or more
machines on the Internet, whereas Automatic Protocol Reverse Engineering (APRE) defines …

Not afraid of the unseen: a siamese network based scheme for unknown traffic discovery

Y Chen, Z Li, J Shi, G Gou, C Liu… - 2020 IEEE Symposium …, 2020 - ieeexplore.ieee.org
As an essential task for network management and security, network traffic classification has
attracted increasing attention in recent years. Traditional traffic classification methods …

Ensemble methods and semi-supervised learning for information fusion: A review and future research directions

JL Garrido-Labrador, A Serrano-Mamolar… - Information …, 2024 - Elsevier
Advances over the past decade at the intersection of information fusion methods and Semi-
Supervised Learning (SSL) are investigated in this paper that grapple with challenges …

[HTML][HTML] OpenCBD: A Network-Encrypted Unknown Traffic Identification Scheme Based on Open-Set Recognition

X Hu, C Gu, Y Chen, X Chen, F Wei - Wireless Communications and …, 2022 - hindawi.com
The encryption of network traffic promotes the development of encrypted traffic classification
and identification research. However, many existing studies are only effective for closed-set …

An unknown protocol syntax analysis method based on convolutional neural network

Y Wang, B Bai, X Hei, L Zhu, W Ji - Transactions on Emerging …, 2021 - Wiley Online Library
In recent years, a large number of botnets and dark networks rely on command and control
channels of unknown protocol formats for communication, and with the development of …

STI: A self-evolutive traffic identification system for unknown applications based on improved random forest

Y Liang, F Wang, S Chen, B Chen, Y Bo - Computer Communications, 2024 - Elsevier
Artificial intelligence technology has proven potential and effective in traffic identification for
network management and security. However, the accuracy of its identification is easily …