Data representation for CNN based internet traffic classification: a comparative study
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09459-4
Abstract: It has been well established that the Internet of Things will bring an expansion in traffic volume and types. This will bring new challenges in terms of Quality of Service (QoS) and security, requiring innovative… read more here.
Keywords: traffic; machine learning; data representation; traffic classification ... See more keywords
Evolutionary Algorithm-Based and Network Architecture Search-Enabled Multiobjective Traffic Classification
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DOI: 10.1109/access.2021.3068267
Abstract: Network traffic classification technology plays an important role in network security management. However, the inherent limitations of traditional methods have become increasingly obvious, and they cannot address existing traffic classification tasks. Very recently, neural architecture… read more here.
Keywords: search; traffic classification; architecture; network ... See more keywords
Procedures, Criteria, and Machine Learning Techniques for Network Traffic Classification: A Survey
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DOI: 10.1109/access.2022.3181135
Abstract: Traffic classification is considered an important research area due to the increasing demand in network users. It not only effectively improve the network service identifications and security issues of the traffic network, but also provide… read more here.
Keywords: classification; traffic; survey; network traffic ... See more keywords
A Complete Review on the Application of Statistical Methods for Evaluating Internet Traffic Usage
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DOI: 10.1109/access.2022.3227073
Abstract: Internet traffic classification aims to identify the kind of Internet traffic. With the rise of traffic encryption and multi-layer data encapsulation, some classic classification methods have lost their strength. In an attempt to increase classification… read more here.
Keywords: traffic; internet traffic; statistical methods; traffic classification ... See more keywords
Evaluation of Synthetic Data Generation Techniques in the Domain of Anonymous Traffic Classification
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DOI: 10.1109/access.2022.3228507
Abstract: Anonymous network traffic is more pervasive than ever due to the accessibility of services such as virtual private networks (VPN) and The Onion Router (Tor). To address the need to identify and classify this traffic,… read more here.
Keywords: network; synthetic data; data generation; traffic ... See more keywords
FEAT: A Federated Approach for Privacy-Preserving Network Traffic Classification in Heterogeneous Environments
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3204975
Abstract: Network traffic classification is the foundation for many network security and network management applications. Recently, to preserve the privacy of the data which are generated in the mobile ends, federated learning (FL)-based classification methods are… read more here.
Keywords: network; traffic; network traffic; traffic classification ... See more keywords
A Few-Shot Learning Based Approach to IoT Traffic Classification
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DOI: 10.1109/lcomm.2021.3137634
Abstract: IoT traffic classification is an important step in network management. Efficient and accurate IoT traffic classification helps Internet Service Providers provide high-quality services to network users. At present, popular IoT traffic classification methods are using… read more here.
Keywords: classification; traffic; labeled traffic; traffic classification ... See more keywords
MANTA: Multi-Lane Capsule Network Assisted Traffic Classification for 5G Network Slicing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3186529
Abstract: As network slicing is an enabling technology for the fifth-generation (5G) networks, it comes with complex challenges to ensure that resource management is consistent with slice tenant activities to provide better performance and cost-effective services… read more here.
Keywords: network; multi lane; network slicing; traffic ... See more keywords
Optimizing Feature Selection for Efficient Encrypted Traffic Classification: A Systematic Approach
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DOI: 10.1109/mnet.011.1900366
Abstract: Traffic classification is a technology for classifying and identifying sensitive information from cluttered traffic. With the increasing use of encryption and other evasion technologies, traditional content- based network traffic classification becomes impossible, and traffic classification… read more here.
Keywords: traffic classification; feature selection; encrypted traffic; traffic ... See more keywords
Adaptive and Lightweight Network Traffic Classification for Edge Devices
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DOI: 10.1109/tgcn.2022.3165221
Abstract: Network traffic classification (NTC) is essential to network measurement, management, and security. Recently, Artificial Intelligence (AI)-based NTCs have demonstrated its accuracy in identifying data traffic. However, existing AI-based NTCs require inputs of lengthy data payload… read more here.
Keywords: network; traffic; ntc models; network traffic ... See more keywords
Fine-grained Traffic Classification Based on Improved Residual Convolutional Network in Software Defined Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2023.10128928
Abstract: As Internet traffic becomes increasingly complex, a growing number of applications are carrying different services. To provides service-aware traffic classification, allowing network operators to better analyze network composition as well as manage and schedule efficiently… read more here.
Keywords: network; software defined; traffic; fine grained ... See more keywords