Detecting anomalies in backbone network traffic: a performance comparison among several change detection methods

Author： Callegari Christian Giordano Stefano Pagano Michele Pepe Teresa

ISSN： 1748-1279

Source： International Journal of Sensor Networks, Vol.11, Iss.4, 2012-06, pp. : 205-214

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Detection of malicious traffic on back-bone links via packet header analysis

By John Wolfgang Olovsson Tomas

Campus-Wide Information Systems, Vol. 25, Iss. 5, 2008-11 ,pp. : 342-358

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Increasing coverage to improve detection of network and host anomalies

By Tandon Gaurav Chan Philip

Machine Learning, Vol. 79, Iss. 3, 2010-06 ,pp. : 307-334

Springer Publishing Company

Access to resources Recommend Favorite

Development of an intelligent technique for traffic network incident detection

By Srinivasan D. Cheu R.L. Poh Y.P. Ng A.K.C.

Engineering Applications of Artificial Intelligence, Vol. 13, Iss. 3, 2000-06 ,pp. : 311-322

Elsevier

Access to resources Recommend Favorite

Network Traffic Intrusion Detection System Using Fuzzy Logic and Neural Network

International Journal of Synthetic Emotions (IJSE), Vol. 8, Iss. 1, 2017-01 ,pp. : 1-17

IGI Global_journal

Access to resources Recommend Favorite

A Hybrid Technique Using PCA and Wavelets in Network Traffic Anomaly Detection

International Journal of Mobile Computing and Multimedia Communications (IJMCMC), Vol. 6, Iss. 1, 2014-01 ,pp. : 17-53

IGI Global_journal

Access to resources Recommend Favorite