[PDF] Top 20 A Statistical Method for Profiling Network Traffic
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A Statistical Method for Profiling Network Traffic
... An interesting point to note is that the individ- ual machine results were not uniformly better than the cluster results. Consider in Figure 4 the point at which each method first detects all the attacks. The ADC ... See full document
11
A statistical method for estimating predictable differences between daily traffic flow profiles
... off-peak traffic, but also patterns which are more likely to be overlooked, for example lower network demand in winter months or variations in daily flow profiles due to differences in shop opening hours ... See full document
29
Statistical Inference and α Stable Modeling for Anomaly Detection in Network Traffic
... for network traffic is not complete, since we model traffic marginals ...shows, traffic correlations should be taken into account if new insights on traffic nature are to be found, so ... See full document
7
An Efficient Technique for Network Traffic Summarization using Multiview Clustering and Statistical Sampling
... proposed method did not outperform others in terms of conciseness because of the merging of summaries from four di ff erent clustering solutions, whereas, the other approaches consider only one clustering ... See full document
9
Anomaly Detection and Prevention in Network Traffic based on Statistical approach and α Stable Model
... in statistical anomaly ...step, statistical analysis and/or data transforms are performed to separate normal network behaviors from anomalous behaviors and ...of method can be applied here, ... See full document
9
Dimitrios P. Pezaros Department of Computer Science University of Glasgow Glasgow, UK David Hutchison
... by network traffic ...based traffic profiling rely on the statistical assumptions of stationarity, Gaussianity and linearity, whose applicability has not been thoroughly investigated ... See full document
5
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
To Detect and Prevent the anomaly in Network Traffic Based on Statistical approach and α stable Model
... in statistical anomaly ...step, statistical analysis and/or data transforms are performed to separate normal network behaviors from anomalous behaviors and ...of method can be applied here, ... See full document
7
Enhancing DDoS Flood Attack Detection via Intelligent Fuzzy Logic
... of network bandwidth or occupies network equipment resources by flooding them with packets from the machines distributed all over the ...the network usability and reliability, real-time and accurate ... See full document
12
xTRoad: The tweet extraction method for profiling road and traffic conditions
... social network is a unique kind of system as compared to the other online social networks in that it is made up of the traditional mass media and the social media ... See full document
9
Defend against Anomaly Intrusion Detection using SWT Mechanism
... intrusion traffic attacks combined with traditional network intruders, have become one of the most serious threats to the network ...the traffic anomaly detection method is carried out ... See full document
5
DETECTING ANOMALOUS NETWORK TRAFFIC BASED ON CLASSIFYING FREQUENT TRAFFIC PATTERNS METHOD AND TOOLS
... representative statistical formulation of change-point detection is to consider probability distributions from which data in the past and present intervals are generated, and observe the intention time point as a ... See full document
8
PROTECT SENSITIVE KNOWLEDGE IN DATA MINING CLUSTERING ALGORITHM
... structured network attack coming from various sources and fused to form a large packet ...target network server becomes overloaded. Network packet classification is one method of ... See full document
8
Generation of Labelled Datasets to Quantify the Impact of Security Threats to Cloud Data Centers
... Internet Traffic Flow, Border Gateway Pro- tocol (BGP), Internet Topology Data, Intrusion Detection System (IDS) and Firewall Data, and Botnet ...anomalous network traces in the interac- tions between cloud ... See full document
13
Terrain Details Effect on Connectivity in Ad hoc Wireless Networks
... the network connectivity graph is a random geometric graph, wherein each node has a transmission range represented as circle with a fixed ...the network connectivity graph for 100 uniformly randomly ... See full document
7
The Design of Advanced Industrial or Building Area Network Control Using Zigbee
... XBEE: ZigBee is an IEEE 802.15.4 standard for data communications with business and consumer devices. It is designed around low-power consumption allowing batteries to essentially last forever. The ZigBee standard ... See full document
6
Traffic Sign Detection, Recognition and Notification System using Faster R CNN
... the traffic road sign detection and recognition, we developed and implemented the procedure to extract the road sign from a natural complex ...schools, traffic sign, universities, hospitals, offices ... See full document
6
Video Streaming Analysis in Vienna LTE System Level Simulator
... Quality of Experience (QoE) has taken an important in- terest in the performance evaluation of multimedia traffic. Hence the satisfactory QoE to video consumers becomes a key objective for LTE system design. In ... See full document
8
A New Detection Method for Distributed Denial-of-Service Attack Traffic based on Statistical Test
... arrival method adopt parametric approach to identify high-rate attack, while SYN-FIN method uses a non-parametric ...arrival method. SYN arrival method setup the threshold to detect all ... See full document
17
Analysis of Ethernet Traffic Statistical Properties
... Ethernet traffic on backbone connec- tion and in LAN and have evaluated its statis- tical ...evaluated traffic in terms of protocols representation in volume and in number of packets, taking into account ... See full document
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