Internet Traffic Classification
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منابع مشابه
Feature Extraction to Identify Network Traffic with Considering Packet Loss Effects
There are huge petitions of network traffic coming from various applications on Internet. In dealing with this volume of network traffic, network management plays a crucial rule. Traffic classification is a basic technique which is used by Internet service providers (ISP) to manage network resources and to guarantee Internet security. In addition, growing bandwidth usage, at one hand, and limit...
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Internet traffic classification plays important roles in numerous areas such as network management, traffic engineering, QoS provisioning etc. Prior traffic analysis is an essential requirement for existing classification schemes to classify unknown traffic. To overcome the drawback of the previous classification scheme to meet the requirements of the network activities, we propose online self-...
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Online and accurate traffic classification is a key challenge for network management. Internet traffic classification based on flow statistics using machine learning method has attracted great attention. To solve the drawback of the previous classification scheme to meet the requirements of the network activities, our work mainly focuses on how to build an online Internet traffic classification...
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With a dramatic increase in the number and variety of applications running over the internet, it is very important to be capable of dynamically identifying and classifying flows/traffic according to their network applications. Meanwhile, internet application classification is fundamental to numerous network activities. In this paper, we present a novel methodology for identifying different inte...
متن کاملLightweight Internet Traffic Classification based on Packet Level Hidden Markov Models
During the last decade, Internet traffic classification finds its importance not only to safeguard the integrity and security of network resources, but also to ensure the quality of service for business critical applications by optimizing existing network resources. But optimization at first place requires correct identification of different traffic flows. In this paper, we have suggested a fra...
متن کاملInternet Traffic Classification based on Fuzzy Kernel K-means Clustering
Internet traffic classification based on flow statistics using machine learning method has attracted great attention. To solve the drawback of the fuzzy K-Means clustering algorithm to meet the requirements of the Internet network classification, we propose Internet traffic classification based on fuzzy kernel K-Means clustering. This method overcomes the dependence of clustering algorithm on s...
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تاریخ انتشار 2015