Malicious Node Detection in Sensor Network Using Autoregression Based on Neural Network

Authors

Constantin Volosencu
Daniel Ioan Curiac
Alex Doboli
Octavian Dranga, Edith Cowan University

Document Type

Conference Proceeding

Faculty

Faculty of Computing, Health and Science

School

School of Engineering

RAS ID

9176

Comments

Voloşencu, C., Curiac, D. I., Doboli, A., & Dranga, O. (2007). Malicion node detection in sensor network using autoregression based on neural network. IFAC Proceedings Volumes, 40(18), 571-577.

Abstract

In this paper we propose a strategy based on antecedent values provided by each sensor for detecting their malicious activity. We compare at each time moment the sensor's output with its estimated value computed by a robust autoregressive neural predictor. In case that the difference between the two values is higher then a chosen threshold, the sensor node becomes suspicious and a decision block is activated.