Towards distributed layered intrusion detection system for large scale wireless sensor networks Online publication date: Wed, 01-Mar-2017
by Karen Medhat; Rabie A. Ramadan; Ihab Talkhan
International Journal of Intelligent Engineering Informatics (IJIEI), Vol. 5, No. 1, 2017
Abstract: In the current era of computer and communication rapid development, network security has become one of the most important factors to consider. Security considerations in wireless sensor networks (WSNs) have been an interesting point in research especially with the fast spread of WSNs. In this paper, an efficient two-layer and three-layer intrusion detection models are introduced. The two-layer model represents the levels of the sensor and sink nodes. The three-layer model represents the levels of the sensor, sink and base station. The models are elaborated and examined through a set of experiments. A supervised learning algorithm is introduced to be used in the sensor node layer and an unsupervised learning algorithm is introduced to be used in the other layers. The learning algorithms used only 10% of the data for training and gave a high detection accuracy on the used dataset, using lesser number of features compared to other approaches.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Engineering Informatics (IJIEI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook