Classifying network traffic according to their application-layer protocols is an important task in modern networks for traffic management and network security. Existing payload-based or statistical methods of application identification cannot meet the demand of both high performance and accurate identification at the same time. We propose an application identification framework that classifies ...

Peer-to-peer (P2P) traffic has occupied major fraction of all internet traffic. Hence, P2P flow identification becomes an important problem for network management. In our work, we propose an ensemble classification approach for P2P traffic identification, which integrates six DTNB(combination of naive Bayes and decision tables) algorithm and dynamic weighted integration method. The proposed P2P...

Objectives: Conducting field tests of a vibrotactile aid for deaf/deafblind persons for detection, identification and directional perception of environmental sounds. Methods: Five deaf (3F/2M, 22–36 years) individuals tested the aid separately in a home environment (kitchen) and in a traffic environment. Their eyes were blindfolded and they wore a headband and holding a vibrator for sound id...

regulations of use of social networks, as one of the key components in these networks, serve an important role in controlling the flow of traffic. the study of the harmonization of these terms and regulations can be a significant step to avoid congestion and (users’) rejection in the network. harmonization of traffic control regulations (tcr) among social networks is one of the best solutions...

Spatially coordinated packet sampling can be implemented by using a deterministic function of packet content to determine the selection decision for a given packet. In this way, a given packet may be selected at either all points that it passes, or none. Selection amongst the set of packets should appear as random as possible. In this paper we calculate the empirical entropy of selection of bit...

In this paper, we take the urban road network as the object, a further study on the method of traffic signal self organization under the condition of traffic state identification and local congestion. In the urban road traffic state identification study, according to the need of traffic signal control, respectively from qualitative and quantitative point of view, the urban road traffic state is...

The identification of game traffic in the Internet is very useful for a number of tasks. For trend analysis it is important to find out how much game traffic is in the Internet and how much traffic certain games contribute. To provide better than best effort QoS for game traffic in the network it is necessary to identify game traffic before it can be prioritised. Traditionally, network applicat...

Current network modeling practices usually assess the network performance at specified time interval, i.e. every 5 or 10 years time horizon. Furthermore, they are usually based on partially predictable data, which are being generated through various stochastic procedures. In this research, a new quantitative based methodology which combines combinatorial optimization modeling and transportation...

An attempt at determining the source of anomalous network traffic may result in the identification of the networked system where it originated. From a forensic point of view it is almost impossible to positively identify the application or the user behind the application that generated the traffic. Many users may have been using the networked system and there remains the possibility of network ...