Application-level traffic classification is an essential requirement for stable network operation and resource management. The payload signature-based classifier is considered a reliable method for Internet traffic classification. However, with this system, processing speeds are slower when high volumes of traffic are being classified in high-speed networks in real time. In this paper, we propo...

SUMMARY Internet traffic classification is an essential step for stable service provision. The payload signature classifier is considered a reliable method for Internet traffic classification but is prohibitively compu-tationally expensive for real-time handling of large amounts of traffic on high-speed networks. In this paper, we describe several design techniques to minimize the search space ...

The observation of network traffic is at the core of many fundamental networkoperationandmaintenanceactivities, such as the enforcement of quality of service guarantees or traffic engineering, and of security issues such as intrusion detection and prevention. However, the rapid introduction of new categories of applications such as network games and peer-to-peer communication, the increasing pr...

In this paper, I will categories and analysis different approaches to classify different Internet traffics using Machine Learning (ML) technic. The traffic classification can be used as an important tool to detect intrusion detection. And it also can be used by network operator to control the network. However it opens a topic related to protection of personal information. After realizing the ad...

While the existing applied length-based vehicle classification model has been to estimate vehicle lengths accurately with dual-loop traffic monitoring station data under free traffic condition, it produces considerable errors against congested traffic. In this study, both ground-truth vehicle trajectory and simultaneous loop event data are used to characterize the impact of congested traffic on...

In the last years, we have witnessed a tremendous growth of the Internet, especially in terms of the amount of data being transmitted through the networks and new protocols being implemented. This poses a challenge for network administrators, who need adequate traffic classification tools for network management, e.g. to implement Quality of Service (QoS) requirements. In this paper, we employ r...

Current efforts to classify Internet traffic highlight accuracy. Previous studies have focused on the detection of major applications such as P2P and streaming applications. However, these applications can generate various types of traffic which are often considered as minor and ignorant traffic portions. As network applications become more complex, the price paid for not concentrating on minor...

Visual traffic surveillance using computer vision techniques can be noninvasive, automated, and cost effective. Traffic surveillance systems with the ability to detect, count, and classify vehicles can be employed in gathering traffic statistics and achieving better traffic control in intelligent transportation systems. However, vehicle classification poses a difficult problem as vehicles have ...

© 2010 ETRI Journal, Volume 32, Number 1, February 2010 The pervasive game environments have activated explosive growth of the Internet over recent decades. Thus, understanding Internet traffic characteristics and precise classification have become important issues in network management, resource provisioning, and game application development. Naturally, much attention has been given to analyzi...