Abstract
Experimental results obtained by MOVICAB-IDS when examining normal and anomalous traffic are presented in this chapter. CMLHL projections enable MOVICAB-IDS to identify anomalous situations because these situations tend not to resemble parallel and smooth directions (as normal situations do) and because of their high packet concentrations, among others. The figures in this chapter include illustrations that highlight these anomalous situations, which it should be noted are not generated by MOVICAB-IDS.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Herrero, Á., Corchado, E. (2011). Experiments and Results. In: Mobile Hybrid Intrusion Detection. Studies in Computational Intelligence, vol 334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18299-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-18299-0_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18298-3
Online ISBN: 978-3-642-18299-0
eBook Packages: EngineeringEngineering (R0)