-In this upcoming highly engaged traffic calls in the Peer to Peer (P2P) botnets the high scalability of detection systems is going down. Where the botmasters adopt modern system to detect traffic which ends in the malicious activities and poor scalability. So in this paper, we proposed a highly scalable botnet detection system for a stealthy peer to peer botnets. In this p2p detection it will ...

Traffic analysis and anomaly detection have been extensively used to characterize network utilization as well as to identify abnormal network traffic such as malicious attacks. However, so far, techniques for traffic analysis and anomaly detection have been carried out independently, relying on mechanisms and algorithms either in edge or in core networks alone. In this paper we propose the noti...

In this paper, a vision-based real-time traffic analysis system is presented, which can analyze vehicles in traffic from a traffic video sequence. This paper discusses object detection, and tracking of objects in multiple video frames. The functionalities of traffic analysis using computer vision include vehicle speed estimation, traffic flow direction estimation, traffic density estimation and...

Despite the vast wealth of traffic data available, currently there is only limited integration, analysis and utilisation of data in the transport domain. Yet, accurate congestion and incident detection is vital for traffic network operators to allow them to mitigate the cost of traffic incidents. Recurrent (cyclical) traffic congestion tends to be managed using timetabled control measures or th...

This paper presents a description of a system supporting the detection of intrusions and network anomalies by analyzing and visualising traffic flows in computer networks. The system supervises the typical communication structure in the network and acts as an anomaly detection component of an Intrusion Detection System. Events are generated in the case of sudden variations of the traffic struct...

This paper describes a 2D motion detection method developed for a road traffic monitoring system. Such systems collect data allowing the management of traffic, increasing road security and traffic capacity. The objective of the development of this method was to allow the construction of a road traffic monitoring system that would work in real time, based on low cost hardware, namely a video cam...

This paper presents an accurate and efficient traffic state detection system that is implemented on smart cameras. Our video analysis method employs feature tracking and edge information along with the camera calibration parameters for periodic level of service (LOS) measurements. After a calibration using the known lengths of lane markings, the smart cameras perform the LOS estimation onboard ...

We define a minimal model of traffic flows in complex networks in order to study the trade-off between topological-based and traffic-based routing strategies. The resulting collective behavior is obtained analytically for an ensemble of uncorrelated networks and summarized in a rich phase diagram presenting second-order as well as first-order phase transitions between a free-flow phase and a co...

Technical systems tend to undergo changes and thus will sooner or later require adjustments to new requirements or conditions. Currently, major changes in Air Traffic Management (ATM) are on the way, as ATM modernizations programs like SESAR or NextGen are getting momentum. ATM systems are rather complex and pose high demands on safety. Besides safety, other performance parameters like efficien...

Almost every Internet communication is preceded by a translation of a DNS name to an IP address. Therefore monitoring of DNS traffic can effectively extend capabilities of current methods for network traffic anomaly detection. In order to effectively monitor this traffic, we propose a new flow metering algorithm that saves resources of a flow exporter. Next, to show benefits of the DNS traffic ...