Results 31 to 40 of about 3,911,620 (341)
Traffic event detection framework using social media [PDF]
, 2017 This is an accepted manuscript of an article published by IEEE in 2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC) on 18/09/2017, available online: https://ieeexplore.ieee.org/document/8038595 The accepted version of the ...
Ammari, A +4 more
core +1 more source
IEEE Access, 2023 With the rapid advancement of the internet and online applications, traffic classification has become an increasingly significant topic in computer networks. Managing network resources, improving service quality, and enhancing cybersecurity are critical.
Mehdi Seydali +3 more
doaj +1 more source
A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario
IEEE Access, 2022 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 bottlenecks in various layers of an end-to-end communication path ...
Aroosa Hameed +2 more
doaj +1 more source
Traffic Classification in IP Networks Through Machine Learning Techniques in Final Systems
IEEE Access, 2023 Data centers in higher education institutions, as well as those of large corporations, face challenges in terms of traffic flow management. In some cases, due to the limited hardware resources used for this purpose, and in others, despite having enough ...
Jorge Gomez +2 more
doaj +1 more source
Network traffic classification for data fusion: A survey
Information Fusion, 2021 Traffic classification groups similar or related traffic data, which is one main stream technique of data fusion in the field of network management and security. With the rapid growth of network users and the emergence of new networking services, network
Jingjing Zhao +3 more
semanticscholar +1 more source
Self-Learning Classifier for Internet traffic [PDF]
, 2012 Network visibility is a critical part of traffic engineering, network management, and security. Recently, unsupervised algorithms have been envisioned as a viable alternative to automatically identify classes of traffic. However, the accuracy achieved so
Baralis, Elena Maria +3 more
core +1 more source
A dynamic network traffic classifier using supervised ML for a Docker-based SDN network
Connection Science, 2021 With the rapid technological growth in the last decades, the number of devices and users has drastically increased. Software-defined networking (SDN) with machine learning (ML) has become an emerging solution for network scheduling, quality of service ...
Pritom Kumar Mondal +4 more
doaj +1 more source
Mobile traffic classification through burst traffic statistical features
2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 2023 Mobile traffic classification is a topic of interest for researchers focused on improving the network capacity or for those seeking to identify potential risks to users' privacy. In recent years, traffic classification accuracy has significantly improved thanks to machine learning techniques.
Vargas Anamuro, Cesar, Lagrange, Xavier
openaire +2 more sources
A Cost-Sensitive Deep Learning-Based Approach for Network Traffic Classification
IEEE Transactions on Network and Service Management, 2022 Network traffic classification (NTC) plays an important role in cyber security and network performance, for example in intrusion detection and facilitating a higher quality of service. However, due to the unbalanced nature of traffic datasets, NTC can be
A. Telikani +3 more
semanticscholar +1 more source
Voting Classification Model for Network Traffic Classification
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: Network traffic classification has produced incredible concentration in the academic world alongside the industrial domain. A few procedures have been recommended and created in the course of the most recent twenty years. This segment makes a discussion on various classification strategies and partitions them into four classes dependent on ...
Jasmeeet Kour, Prof. Lalit Sen Sharma
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