As the major problem of urban and developed cities is spreading of traffic congestion day by day. For which, there is a pressing need of advanced technology to provide reliable results with improvement of the state of the art of traffic control mechanism. As on date, Traffic problems are increasing with a higher rate around the world because of the number of vehicles are increasing by leaps and...

In this work we present and evaluate different automated combination techniques for traffic classification. We consider six intelligent combination algorithms applied to both traditional andmore recent traffic classification techniques using either packet content or statistical properties of flows. Preliminary results show that, when selecting complementary classifiers, some combination algorit...

In this paper we will analyze the relations between outbound email and inbound email traffic. We consider outbound traffic being sending email using the SMTP and inbound traffic being receiving or retrieving email using POP or IMAP. IMAP appears to be less used than POP. In corporate networks it is likely to have more SMTP than POP/IMAP traffic and in residential networks the situation is rever...

Network traffic anomalies detection and characterization has been a hot topic of research for many years. Although the field is very advanced in the detection of network traffic anomalies, accurate automated classification is still a very challenging and unmet problem. This paper presents a new algorithm for automated classification of network traffic anomalies. The algorithm relies on three st...

The IP network engineering, management and control are highly benefited by Network traffic classification and application identifi¬cation. There are many popular methods available namely port-based and payload-based but they have shown some disadvantages, and the machine learning based method is a potential one. Unsupervised learning deals with a class of problems in which one seeks to determin...

Sequence data analysis has been extensively studied in the literature. However, most previous work focuses on analyzing sequence data from a single source or party. In many applications such as logistics and network traffic analysis, sequence data comes from more than one source or party. When multiple autonomous organizations collaborate and integrate their sequence data to perform analysis, s...

In this paper, we examine the DVD encoding process and the implications this process has video modeling and network traffic analysis. We have assembled a system that allows us to extract the video data from the DVDs as they were encoded for distribution. Analyzing the resulting video trace data, we describe how DVD encodings have evolved over time. In addition, our findings show that the underl...

The variety of priority queueing systems with random switchover times is suggested in this paper. Such systems represent generalized models for a wide class of phenomena which involve queueing and prioritization and are considered in QoS and CoS network problems. The classification of such systems is given and methods of their analysis are discussed. Specialists in QoS and CoS technologies may ...

Short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both inter- and intra-urban highways. The strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. This paper establishes the applicatio...

Traffic congestion has become a serious problem in the urban districts. This is mainly due to the rapid increase in the number and the use of vehicles. Travel time, travel safety, environmental quality, and life quality are all adversely affected by traffic congestion. Many traffic control systems have been developed and installed to alleviate the problem with limited success. Traffic demands a...