Implementation of IDS Functionality into IoT Environment using Raspberry PI

Internet of Things is constantly growing, and along with it comes the risk caused by unsecured devices that it consists of. First option to increase security, is to use the intrusion detection system (IDS). Based on the analysis of communication in IoT (Internet of Things) networks, on intrusion detection methods and on protocols for collecting information about communication, we designed and implemented a system for flow-based intrusion detection. To distinguish as many attacks as possible and for universality reasons, we used machine learning for the prediction of attacks. We optimized the system for Raspberry Pi. Then we performed tests to determine the accuracy of the prediction. The results of mentioned tests were finally evaluated.