Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Traffic Classification"”.
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Machine learning for network traffic classification under labeled data and training time constraints
… learning (including deep learning) for network traffic classification when constrained by too little labeled data or insufficient time to train models from scratch. Network traffic classification is essential in network security, network management, and application identification. Labeling …
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Using deep learning to classify community network traffic
Traffic classification is an important aspect of network management. This aspect improves the quality of service, traffic engineering, bandwidth management and internet security. Traffic classification methods continue to evolve due to the ever-changing dynamics of modern computer networks and the …
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On characterisation and decomposition of internet traffic dynamics
The comprehension of backbone and edge network traffic dynamics provides the foundational element for crucial traffic engineering tasks employed by Internet Service Providers (ISPs) . These tasks include anomaly diagnosis, network capacity planning, traffic classification and Quality of Service …
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Application and network traffic correlation of grid applications
… engineering of application-specific network traffic is becoming more important for applications that consume large amounts of network resources, in particular, bandwidth. Since traditional traffic engineering approaches are static they cannot address this trend; hence there is a need for …
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Implementation and Performance Evaluation of an NGN prototype using WiMax as an Access Technology
… Such solutions are dependent on the use of traffic classification and knowledge of the QoS requirements of applications and services on the networks. This research identifies the practical difficulties involved in meeting the QoS requirements of network traffic between WiMax and an IP core …
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StreetSmart : modeling vehicle fuel consumption with mobile phone sensor data through a participatory sensing framework
… vehicles are particularly inefficient on high traffic or urban roadways characterized by stop-and-go driving patters. We have developed a novel regression model named StreetSmart that can serve as a transfer function between 4 traffic classification parameters we call "Energy Indices" and the …
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Integrated transportation monitoring system for both pavement and traffic
… the same time, the monitoring system about the traffic, such as Weigh-in-Motion (WIM) system and traffic classification system, also attracted lots of attention because of their importance in traffic statistics and management. The monitoring system in this dissertation combines the monitoring …
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Improving energy efficiency and quality of service in an integrated wireless-optical broadband access network
… of Service (QoS), for example, 4G networks use traffic classification for supporting different QoS demands whereas PON does not differentiate between traffic types. This integrated network must also be energy efficient, as a green broadband access network, without hindering QoS. While these …
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Architectures and technologies for quality of service provisioning in next generation networks
… especially in IP-based network architectures, Traffic Engineering (TE) is referred to as a set of policies and algorithms aimed at balancing network traffic load so as to improve network resource utilization and guarantee the service specific end-to-end QoS. DS-TE technology extends TE …
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Analýza dat šifrovaných síťových tunelů
Táto práce pojednává o problematice klasifikace šifrovaných toků provozu. Cílem je navrhnout a implementovat metodu strojového učení, která bude schopna správně klasifikovat šifrovaný síťový provoz do několika různých typů provozu. Zaměřuje se především na tunelovací protokoly WireGuard a OpenVPN a …