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

Packet traffic: a good data source for wireless sensor network modeling and anomaly detection

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

1 Author(s)
Qinghua Wang ; Aalto Univ., Aalto, Finland

The wireless sensor network (WSN) has emerged as a promising technology. In WSNs, sensor nodes are distributedly deployed to collect interesting information from the environment. Because of the mission of WSNs, most node-wide as well as network-wide activities are manifested in packet traffic. As a result, packet traffic becomes a good data source for modeling sensor node as well as sensor network behaviors. In this article, the methodology of modeling node and network behavior profiles using packet traffic is exemplified. In addition, node as well as network anomalies are shown to be detectable by monitoring the evolution of node/network behavior profiles.

Published in:

Network, IEEE  (Volume:25 ,  Issue: 3 )

Date of Publication:

May-June 2011

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.