The task of network management and monitoring relies on an accurate characterization of network traffic generated by different applications and network protocols. We employ three supervisedmachine learning (ML) algorithms, BayesianNetworks, Decision Trees and Multilayer Perceptrons for the flow-based classification of six different types of Internet traffic including peer-to-peer (P2P) and cont...

Network traffic classification is used in various applications such as network management, policy enforcement, and intrusion detection systems. Although most encrypt their some of them dynamically change port numbers, Machine Learning (ML) especially Deep (DL)-based classifiers have shown impressive performance classification. In this article, we evaluate the robustness DL-based against Adversa...

In this paper, we propose a new online method for traffic classification that combines the statistical and host-based approaches in order to construct a robust and precise method for early Internet traffic identification. We use the packet size as the main feature for the classification and we benefit from the traffic profile of the host (i.e., which application and how much) to decide in favor...

The classification of traffic provides essential data for network management and research. Several classification approaches are developed and proposed to protect the network resources or enforce organizational policies. Whereas the port number based classification works only for some well-known applications and payload based classification is not suitable for encrypted packet payloads that mak...

This thesis investigates the topic of using entropy estimation for traffic classification. A real-time encrypted traffic detector (RT-ETD) which is able to classify traffic in encrypted and unencrypted traffic is proposed. The performance of the RT-ETD is evaluated on ground truth and real network traces. This thesis is opened by some introductory chapters on entropy, pattern recognition, user ...

background and aims: this study aimed to investigate the deaths and injuries following pedestrian traffic accidents and factors associated with death of pedestrian in tehran and alborz provinces. methods: in this cross-sectional study all traffic accidents related to pedestrians in tehran and alborz provinces reported from march 21, 2013 to march 21, 2014 by the traffic police were studied. the...

To date, techniques to counter cyber-attacks have predominantly been reactive; they focus on monitoring network traffic, detecting anomalies and cyber-attack traffic patterns, and, a posteriori, combating the cyber-attacks and mitigating their effects. Contrary to such approaches, we advocate proactively detecting and identifying botnets prior to their being used as part of a cyber-attack [12]....

Traffic monitoring and parameters estimation from urban to non urban (battlefield environment) traffic is fast-emerging field based on acoustic signals. We present here a comprehensive review of the state-of-the-art acoustic signal for vehicular speed estimation, density estimation and classification, critical analysis and an outlook to future research directions. This field is of increasing re...