Visualization System by Combinatorial Use of Edge Bundling and Treemap for Network Traffic Data Analysis

2016 ◽  
pp. 128-141
Author(s):  
Ryo Takayanagi ◽  
Yoshihiro Okada
Keyword(s):  
Data Analysis ◽  
Network Traffic ◽  
Traffic Data ◽  
Visualization System ◽  
Edge Bundling

Data Mining’s Network Traffic Data Analysis in Android Mobile Terminal

2014 ◽  
Vol 644-650 ◽  
pp. 2055-2058
Author(s):  
De Huai Tang
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Network Traffic ◽  
Rapid Development ◽  
Mobile Terminal ◽  
Traffic Data ◽  
Communication Industry ◽  
Network Traffic Analysis ◽  
Network Speed ◽  
Operation And Management

With the rapid development of communication industry in China from 2G to 4G networks, operators’ competition is intense in data flow business. Android mobile terminal is now widely used by people. Network traffic analysis is the premise to improve network speed and real needs of customers, excavate valuable information in vast amounts of data, and an important work for network providers analyzing flow rate and value. This paper mainly introduced the relevant contents of data mining, and data mining’s network traffic data analysis in Android mobile terminal.With the development of computer technology, network technology, and information technology, telecommunications enterprises accumulated a large amount of information resources and business data in the process of operation and management. How to find correlated, regular, and valuable information from these massive, disorderly, growing data is the problem facing enterprises, and data mining provides us with an effective solution.

scholarly journals Detection of DOS-attacks in network traffic by the method of Wavelet-transformation

2020 ◽  
Author(s):  
V. I. Dubrovin ◽  
◽  
B. V. Petryk ◽  
G. V. Nelasa ◽  
◽  
...  
Keyword(s):  
Data Mining ◽  
Wavelet Transform ◽  
Data Analysis ◽  
Data Streams ◽  
Network Traffic ◽  
Wavelet Transformation ◽  
Traffic Data ◽  
Dos Attacks ◽  
Transform Method ◽  
Numerous Data

Network traffic data analysis is very important for detecting DOS attacks and malicious anomalies. Many data mining techniques have been found to manage data and use it for security purposes. Fast and accurate search for content-based queries is critical to making such numerous data streams useful. This paper proposes an analysis of the deauthentication attack and the localization of the anomaly data by the wavelet transform method.

scholarly journals Reducing Network Traffic Data Sets

2007 ◽  
Author(s):  
A. Botta ◽  
A. Dainotti ◽  
A. Pescape ◽  
G. Ventre
Keyword(s):  
Network Traffic ◽  
Data Sets ◽  
Traffic Data

scholarly journals Traffic Data Analysis on Sathorn Road with Synchro Optimization and Traffic Simulation

2017 ◽  
Vol 21 (6) ◽  
pp. 57-67 ◽  
Author(s):  
Kijawattanee Udomsilp ◽  
Teeratat Arayakarnkul ◽  
Sorawee Watarakitpaisarn ◽  
Patrachart Komolkiti ◽  
Jittichai Rudjanakanoknad ◽  
...  
Keyword(s):  
Data Analysis ◽  
Traffic Simulation ◽  
Traffic Data
Sign in / Sign up

Export Citation Format

Share Document