A Framework for Agent-Based Intrusion Detection in Wireless Sensor Networks

With the exponential growth of Ubiquitous Computing, multiple technologies have gained prominence. One of them is the technology of Wireless Sensor Networks (WSNs). Increasingly used in fields such as smart houses and e-health, it can be said that the sensors have a consolidated room in the current scenario. These sensors, however, have some shortcomings: limited resources, energy and computing power are points of interest. Besides these, there is also concern about the vulnerability of these devices, both physical and logical. To eliminate or at least ameliorating these threats is necessary to create layers of protection. One of the layers is formed by Intrusion Detection Systems (IDS). However, sensors have limited computational capacity, and the development of IDSs for these devices must take into account this constraint. Other important requirements for an Intrusion Detection System are flexibility, efficiency and the ability to adapt to new situations. A tool that enables such capabilities are the Intelligent Agents. With this in mind, this work describes the proposal of a framework for intrusion detection in WSNs based on intelligent agents.