A coarse-to-fine traffic sign classification algorithm is proposed. The task for traffic sign classification is to analyze the detected regions and determine the class of the sign in the region. By analyzing existing traffic sign classification algorithms, the major problem affecting the classification accuracy is pointed out. Based on this analysis, a coarse-tofine classification algorithm is ...

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...

Executive Summary ...................................

Traffic classification has received increasing attention in the last years. It aims at offering the ability to automatically recognize the application that has generated a given stream of packets from the direct and passive observation of the individual packets, or stream of packets, flowing in the network. This ability is instrumental to a number of activities that are of extreme interest to c...

Bittorrent currently makes up a large proportion of Internet traffic. The main purpose of my project is to attempt to identify Bittorrent traffic from other kinds of traffic (with particular emphasis on FTP which provides similar functionality to BitTorrent in that it is primarily used for large file downloads) using statistical classification techniques. I will show that Bittorrent traffic can...

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Traffic classification is critical to effective network control and management. Recent researches on Internet traffic classifications have developed several methods for identifying types of application, which have advantages in certain types of network traffic. However, these methods are powerless to measure the network traffic with dynamic port, encrypted payloads, mixing traffic, and real-tim...

Recent years have shown an unprecedented reliance on the internet to provide services essential for business, education, and personal use. Due to this reliance, coupled with the exponential growth of the internet traffic being generated, there has never been a greater necessity for effective network management techniques. Network traffic classification is one key component of this network manag...

Optimizing the internet traffic is always an important research issue in the field of network traffic classification, although various approaches available for minimizing the traffic over heads during the network traffic, they are not optimal. In this paper we are proposing an optimized classification approach for internet traffic by analyzing the behavior of the nodes for allowing or dis conne...