An Intrusion Detection Model Based On Danger Theoryfor Wireless Sensor Networks

International journal of online engineering

Linlin Li¹ 

[1] College of software, University of Science and Technology Liaoning

关键词: Intrusion Detection;    Wireless Sensor Networks;    Danger Theory;    Extreme Learning Machine;    Projection Pursuit;    Beta Distribution;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

This paper, due to the intrusion detection problem in Wireless Sensor Networks, proposes an intrusion detection model based on the Danger Theory instead of the traditional Self-NonSelf theory. The intrusion detection model has two layers structure including danger perception and control decision, and it uses a multi-node cooperation mechanism. The perception node can realize the danger perception with Projection Pursuit Algorithm, and the decision node can detect the intrusion in detail with Extreme Learning Machine Algorithm. The logic process between their layers is consistent with the Danger Theory. The proposed model can realize the data trust between nodes with the Beta distribution trust evaluation method. By the simulations in the MATLAB, the proposed intrusion detection model on the whole is better than the SNS model at the aspects including classification training, danger perception, false negative rate, false positive rate and energy consumption.

【 授权许可】

Unknown