Multi-level network resilience: traffic analysis, anomaly detection and simulation

Marnerides, A. , James, C., Schaeffer-Filho, A., Yunus Sait, S., Mauthe, A. and Murthy, H. (2011) Multi-level network resilience: traffic analysis, anomaly detection and simulation. ICTACT Journal on Communication Technology, 2(2), pp. 345-356. (doi: 10.21917/ijct.2011.0048)

Abstract

Traffic analysis and anomaly detection have been extensively used to characterize network utilization as well as to identify abnormal network traffic such as malicious attacks. However, so far, techniques for traffic analysis and anomaly detection have been carried out independently, relying on mechanisms and algorithms either in edge or in core networks alone. In this paper we propose the notion of multi-level network resilience, in order to provide a more buy pill robust traffic analysis and anomaly detection architecture, combining mechanisms and algorithms operating in a coordinated fashion both in the edge and in the core networks. This work is motivated by the potential complementarities between the research being developed at IIT Madras and Lancaster University. In this paper we describe the current work being developed at IIT Madras and Lancaster on traffic analysis and anomaly detection, and outline the principles of a multi-level resilience architecture.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Marnerides, Dr Angelos
• Authors: Marnerides, A., James, C., Schaeffer-Filho, A., Yunus Sait, S., Mauthe, A., and Murthy, H.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: ICTACT Journal on Communication Technology
• Publisher: ICT Academy of Tamil Nadu
• ISSN: 0976-0091
• ISSN (Online): 2229-6948
• Copyright Holders: Copyright © 2011 The Authors
• First Published: First published in ICTACT Journal on Communication Technology 2(2): 345-356
• Publisher Policy: Reproduced under a Creative Commons License