A Multi-Level Intrusion Detection System for Wireless Sensor Networks Based on Immune Theory

The human body has been, and will continue to be, a source of inspiration for researchers across various disciplines owing to its robustness and myriad of functions. While some of these advancements include the attempt to replicate the entire body to create an artificial self, some tend to use a few characteristics and theories and build upon an artificial subsystem. In this paper, an effort is made to secure a wireless sensor network (WSN) using an immune theory technique called Danger Theory. In other words, a multi-level intrusion detection system (IDS) is designed based on the functions of various immune cells. This is realized by monitoring WSN parameters, such as energy, volume of data and frequency of data transfer and developing an output based on their weights and concentrations which is a suitable basis for IDS design in WSNs.