Study of Immune-Based Intrusion Detection Technology in Wireless Sensor Networks

Abstract

With the popularity of wireless sensor networks in areas such as military, environmental monitoring, and medical applications, the security problem is increasingly outstanding. The characteristics and constraint conditions of wireless sensor networks such as computing ability, storage space, and battery have brought huge challenges in intrusion detection study. Inspired by the dendritic cell differentiation theory of congenital immune mechanism in biological immune system, this paper put forward a real-time intrusion detection model. The model elaborates the biological differentiation mechanism of dendritic cells. In addition, the model abstracts the dendritic cell information fusion process, defines the meanings and functions of external signals which are applied to wireless sensor networks, and defines the mathematical evolution model of dendritic cells. This paper improves the dendritic cell algorithm, named DCA-RT, which implements the distributed deployment and performs real-time intrusion detection. In this paper, performances of the model are analyzed, including the scalability, robustness, and complexity, and experimental results show that the model has better detection performance and reduces the system energy consumption.