Vasos Vassiliou, Associate Professor Department of Computer Science, University of Cyprus, and Research Group Leader, CYENS Centre of Excellence
Christiana Ioannou, PostDoc Researcher Department of Computer Science, University of Cyprus, and Research Fellow, CYENS Centre of Excellence
Internet of Things (IoT) is the term that is being used to identify “smart” devices (examples: home appliances and medical equipment) that are connecting to the Internet to provide consumers and businesses with more control, convenience, speed, accuracy, and savings. As a key component in information technology security, Intrusion Detection Systems (IDS) monitor networks for suspicious activity or violations of policies. IDS4IoT is a solution that can detect unknown attacks in IoT networks, using a lightweight anomaly-detection mechanism based on Machine Learning and Statistical Analysis techniques. IDS4IoT offers a security solution that is mostly directed towards industrial settings. In industrial environments, operational technology (OT) and information technology (IT) are more connected than ever. IDS4IoT will be able to recognize issues, faults and attacks both in the network and the process of an industrial IoT.