Abstract
Traffic analysis based only on IP address is a new research area where traffic anomalies can be detected by studying clusters of IP addresses extracted from traveling packets. Such analysis is normally spatial and needs IP addresses to be put in a multi-dimensional map. This paper proposes a novel method that converts such maps to 2-dimensional graphical form and applies video compression techniques to create MPEG-2 VBR movies where frames are individual snapshots of IP space in time. The paper proves that this combination is suitable for traffic monitoring and detection of DDOS attacks as well as large-scale traffic anomalies caused by social phenomena.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Rekhter, Y., Moskowitz, B., Karrenberg, D., de Groot, G.J., Lear, E.: RFC 1918. Address Allocation for Private Internets (1996)
IPv4 Address Report, http://www.potaroo.net/tools/ipv4/
MAWI Working Group Traffic Archive, http://tracer.csl.sony.co.jp/mawi/
Jung, J., Krishnamurthy, B., Rabinovich, M.: Flash Crowds and Denial of Service Attacks: Characterization and Implications for CDNs and Web Sites. In: WWW Conference, Hawaii, USA, pp. 532–569 (2002)
IPv4 WHOIS Map, http://www.caida.org/research/id-consumption/whois-map/
Lakhina, A., Crovella, M., Diot, C.: Characterization of Network-Wide Anomalies in Traffic Flows. In: Internet Measurement Conference, Italy, pp. 201–206 (2004)
GD Graphics Library, http://www.boutell.com/gd/
MJPEG Tools http://mjpeg.sourceforge.net/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhanikeev, M., Tanaka, Y. (2009). Lightweight Traffic Monitoring and Analysis Using Video Compression Techniques. In: Hong, C.S., Tonouchi, T., Ma, Y., Chao, CS. (eds) Management Enabling the Future Internet for Changing Business and New Computing Services. APNOMS 2009. Lecture Notes in Computer Science, vol 5787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04492-2_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-04492-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04491-5
Online ISBN: 978-3-642-04492-2
eBook Packages: Computer ScienceComputer Science (R0)