DocumentCode :
124768
Title :
State of the art analysis of network traffic anomaly detection
Author :
Roy, Debapriya Basu ; Chaki, Rituparna
Author_Institution :
Comput. Sci. & Eng., Univ. of Calcutta, Kolkata, India
fYear :
2014
fDate :
Feb. 27 2014-March 1 2014
Firstpage :
186
Lastpage :
192
Abstract :
In the present age of pervasive computing, network anomaly detection has become an essential research area. The idea behind anomaly detection originated from the perspective of network monitoring and security As more and more people and devices get connected over the net, the need for security of information being exchanged increases.. In network monitoring, the monitoring device observes such network features like flow and capacity of a link in network, number and size of distinct flows. Where as in network security the monitoring node monitors the anomalous behavior of the nodes. In this paper we present a review of some of the existing research works on anomaly detection.
Keywords :
computer network security; telecommunication traffic; ubiquitous computing; link capacity; link flow; monitoring device; network monitoring; network security; network traffic anomaly detection; node anomalous behavior; pervasive computing; Algorithm design and analysis; Covariance matrices; Monitoring; Principal component analysis; Telecommunication traffic; Wavelet analysis; Anomaly; Machine learning; Network Traffic; Statistical; Streaming Data Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications and Innovations in Mobile Computing (AIMoC), 2014
Conference_Location :
Kolkata
Type :
conf
DOI :
10.1109/AIMOC.2014.6785539
Filename :
6785539
Link To Document :
بازگشت