[PDF] Top 20 Network Traffic Classification under Time-Frequency Distribution
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Network Traffic Classification under Time-Frequency Distribution
... different network capture. In parallel, the neural network algorithm was used with a varying training cycle ...Neural network was also used with multiple features combinations to analyze the impact ... See full document
12
Comparative Analysis of Clustering Techniques in Network Traffic Faults Classification
... A network fault is an unplanned failure of either hardware or software components which may result in an unusual functioning ...[1]. Network fault detection and management for networks from which users ... See full document
13
Improved Network Traffic Classification Using Ensemble Learning
... and classification of anomalies in modern computer networks is the fact that different anomalies present diverse spatio-temporal network traffic characteristics; as such, a single detection and ... See full document
6
An Implementation Of Network Traffic Classification Technique Based On K-Medoids
... and traffic class from a training data ...as time consuming to obtain a fully labeled training data ...a traffic classifier using flow statistics using both labeled and unlabeled ...the ... See full document
6
DETECTING ANOMALOUS NETWORK TRAFFIC BASED ON CLASSIFYING FREQUENT TRAFFIC PATTERNS METHOD AND TOOLS
... Abstract: Network traffic anomalies stand for a large fraction of the Internet traffic and compromise the performance of the network ...and time consuming task that network ... See full document
8
Link Volume And Capacity Utilisation Of Roads in Kondotty Town
... The traffic volume on a link is not stable, but varies during 24 hours of the ...the traffic flow on a road per unit time, the flow of the different vehicle classes should be converted into a ... See full document
5
Extension of Behavioral Analysis of Network Traffic Focusing on Attack Detection
... [My solution] Achieved results of experiments confirmed assumptions about a need of providing ob- fuscated attacks together with direct attacks in order to get better classification accuracy with NBA. With- out ... See full document
6
Implementing Real Time Traffic Light Detection and Classification
... Abstract— Object detection is widely used in the world of Neural Network based classifiers are used together with other object detection techniques. The aim of this study was to explore the modern open source ... See full document
5
Design and simulation of wireless network for Anomaly detection and prevention in network traffic with various approaches
... (first-order) traffic distribution and states that traffic is inherently ...in traffic distributions exhibiting heavy tails which cannot be properly modeled with, ...that traffic is ... See full document
9
Network Traffic Classification and Demand Prediction
... a network, usually there are several routes which can be used for this ...a network as a graph where the nodes are network clients, such as routers, and the edges are communication ...a ... See full document
30
Comparison of Feature Reduction Techniques for the Binominal Classification of Network Traffic
... the time to detect attacks and increased the classification accuracy as well as the true positive rates ...of classification techniques on NSL-KDD data, both for the two class problem as binary ... See full document
9
INFORMATION TECHNOLOGY FOR NUMERICAL SIMULATION OF CONVECTIVE FLOWS OF A VISCOUS INCOMPRESSIBLE FLUID IN CURVILINEAR MULTIPLY CONNECTED DOMAINS
... the network is determined by the routing algorithm [5]. Besides network accounting and monitoring, system administrators can identify various problems that may occur in the ...of traffic-flow, it is ... See full document
17
DDoS Attacks Impact on Network Traffic and its Detection Approach
... a network or in the standard specification of protocols has resulted in gaps that allow various kinds of network attack to be launched of the type of network attacks, denial-of-service flood attacks ... See full document
5
A novel approach to finding frequency patterns in noisy network traffic
... attack traffic we might notice some of the following: many new packets transmitted in a short period of time; many packets of the same size; many very small packets; a destination address common to every ... See full document
68
A new under frequency load shedding scheme for islanded distribution network
... The most common load shedding method applied by utilities is the conventional UFLS scheme. Although this method is simple and practical, it is known unreliable to shed right amount of load. [2-5]. Hence, an adaptive UFLS ... See full document
6
MATHEMATICAL MODELS OF THREATS OF UNAUTHORIZED ACCESS TO SENSITIVE INFORMATION OF MOBILE NETWORK SUBSCRIBERS AND MEASURES TO PROTECT MOBILE SYSTEM
... of traffic networks as well as optimal operation of those existing is a topical problem ...travel time along the routes have been increasingly applying in recent ...on traffic flow ...monitoring ... See full document
8
A Clustering Algorithm for Classification of Network Traffic using Semi Supervised Data
... more time is needed because of k-means clustering. The time complexity of k-means is O(k*|RN|* I), where k is the number of clusters, |RN| is the size of the reliable negative set, and I is the number of ... See full document
8
Vol 10, No 1 (2018)
... of time series and the fuzzy logic for online detecting anomalies in ...nowadays network traffic: the big data and the uncertainty ...normal network traffic and spot anomaly behaviors ... See full document
9
Self Learning Network Traffic Classification
... Learning Network Traffic Classification”, unsupervised data mining algorithms are used to automatically split traffic into homogeneous subsets or ... See full document
11
THE WIGNER TIME FREQUENCY DISTRIBUTION FOR A GAUSSIAN PULSE.
... width of the spectral contour at a level of . In the particular case of (i.e. in the absence of the frequency chirp or the phase modulation), one yields for the Gaussian pulse. Nevertheless, in the general case, , ... See full document
7
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