flow-based traffic classification
Comparative Study on Embedded Feature Selection Techniques for Internet Traffic Classification
... timely traffic classification is a key to providing Quality of Service (QoS), application-level visibility, and security monitoring for network operations and ...of traffic classification ...
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Autonomous QoS Management and Policing in Unmanaged Local Area Networks
... world traffic from major video and audio streaming portals it was found that the state-of-the-art literature solutions do not handle the characteristics of nowadays Internet media streaming traffic ...prior ...
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A Survey on Analysis of Service Usage of Application using Multistage Classifier for Network Traffic Classification
... Network Traffic Classification Techniques paper from table1 generalizes techniques of Classification based on the packet port numbers being used in earlier days of ...port based ...
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Traffic Flow Condition Classification for Short Sections Using Single Microwave Sensor
... Wardrop’s theory was based on two major principles. The first one was stating that travel times between the same origin and destination pairs for any used routes are less than or equal to the travel times for all ...
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An Enhanced Technique for Network Traffic Classification with unknown Flow Detection
... The flow statistical feature based traffic classification can avoid the problems suffered by previous approaches such as dynamic ports, encrypted applications and user privacy ...(NN) ...
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PERFORMANCE ANALYSIS OF WLAN UNDER VARIABLE NUMBER OF NODES USING THE ADJUSTABLE PARAMETERS IN EDCA
... network traffic which is a tough and open problem for ...network traffic is a tedious and a most challenging ...normal flow posses higher similarity compared with that of active attack ...Correlation ...
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Vol 9, No 2 (2017)
... sets based on problem ...that classification with signatures achieve better accuracy than flow statistics counterparts when they are ...the traffic classes can be classified as in ACAS and ...
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Survey on Classification and Prediction Approaches in Traffic Flow
... Multi-layers Convolutional Neural Network (CNN) contains convolution layer, pooling layer, loss-function layer, etc. Based on di erent types of loss function layers, we can perform di erent tasks such as ...
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An Algorithm for K LVQ Abnormal Traffic Classification Based on Information Entropy
... Although based on statistical features and real-time classification pattern recognition method based on [4] traffic can also be achieved, but due to technical limitations of the method itself, ...
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Research of Traffic Flow Based on SVM Method
... is based on statistical learning theory, which mainly is VC dimension theory and structure risk minimum principle, according to the limited sample information in the complexity of the model and find the best ...
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Performance Evaluation of AODV Routing Protocol in VANET with NS2
... In [1], author Yang He, Wenjun Xu and Xuehong Lin, proposes a new stable routing protocol, which is based on the scenario where vehicles move at a different velocity on the highway. The uniqueness of this work ...
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A Short Term Traffic Flow Forecasting Method Based on a Three Layer K Nearest Neighbor Non Parametric Regression Algorithm
... road traffic system is a nonlinear system characterized by time-dependence and complexity and ex- hibits a distinctive feature—high uncertainty, which makes the forecasting model based on a single-layer ...
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Hybrid stochastic framework for freeway traffic flow modelling
... The network of freeways under study is divided into many sections, as indicated in Fig. 1. Each section corresponds to a stretch of a freeway where the behavior is fairly homogeneous. The traffic vehicular ...
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Optimization Design of Traffic Flow under Security Based on Cellular Automata Model
... safety based on the Cellular Automata. In order to analyze the flow of traffic, the traffic of three- lane freeway and four-lane freeway are simulated based on the cellular automata ...
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DESIGN OF TRAFFIC FLOW PREDICTION SYSTEM AND OPTIMIZATION OF SIGNAL TIMING BASED ON TRAFFIC SOFTWARE
... and traffic flow pattern changed ...the traffic flow is not up to the considerable amount in the other lane and results in unnecessary ...new traffic flow data in the field, ...
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Exploring Queuing Theory to Minimize Traffic Congestion Problem in Calabar-Highway by IBB Road, Cross River State
... stable traffic congestion but not a smooth and good traffic ...the traffic intensity results for the three channels shows good stable and smooth traffic ...the traffic intensity ...
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Traffic Signs Classification
... about traffic pictures, for example, shape and shading can be utilized to put traffic pictures into specific parties; in any case, there are two or three components that can neutralize reasonable ...
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Traffic flow data mining based on cloud computing
... Transportation research and development is no longer a field of mechanical, civil and other traditional engineering and management disciplines. Rather, communication, control, computer sciences and many other emerging ...
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State Space Modeling and Short-Term Traffic Speed Prediction Using Kalman Filter Based on ANFIS
... term traffic speed prediction model is proposed to overcome some above ...nonlinear traffic speed ...varying traffic manner will be formed. KF based on the obtained model will be implemented ...
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Traffic simulation of Beijing west railway station north area
... In an overall view, if we want to solve the pain of the Beijing West station congestion, the general principle is making roads smoother. Then the time of vehicles blocking on the road will be reduced, and the number of ...
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