Cart (Loading....) | Create Account
Close category search window
 

Impact of Packet Injection Models on Misbehaviour Detection Performance in Wireless Sensor Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Schaust, S. ; G.W. Leibniz Univ. of Hannover, Hannover ; Drozda, M. ; Szczerbicka, H.

Traffic in wireless sensor networks (WSN) is commonly created by sensor readings which can be modelled by various distributions as the occurrences of events triggers the injection of packets. The Poisson distribution is a common example for a widely used event distribution as many processes (for example the arrival of customers or the dissemination of parasits) are known to be Poisson distributed. The impact of such a packet injection model on sensor networks and especially on the performance of misbehaviour detection systems is therefore of interest. In this paper we investigate the impact of the Poisson model and the constant bit rate model on a misbehaviour detection system, namely an artificial immune system (AIS). We state the hypothesis that both models have no significant effect on the detection rate. We examine the influence of the two models on the detection performance and compare the results. We conclude that the differences between the two models show no statistically significant effects on the detection performance supporting our hypothesis. However, we observe that the AIS had a significantly smaller false positives rate for the Poisson model than for the CBR model.

Published in:

Mobile Adhoc and Sensor Systems, 2007. MASS 2007. IEEE Internatonal Conference on

Date of Conference:

8-11 Oct. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.