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IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT
Markus Miettinen, Samuel Marchal, Ibbad Hafeez, Tommaso Frassetto, N. Asokan, Ahmad-Reza Sadeghi and Sasu Tarkoma
Technische Universitat Darmstadt, Aalto University, university of helsinki, Technische Universitat Darmstadt, Aalto University, Technische Universitat Darmstadt, University of Helsinki

The emergence of numerous new manufacturers producing devices for the Internet-of-Things (IoT) has given rise to new security concerns. Many IoT devices exhibit security flaws making them vulnerable for attacks and manufacturers have difficulties in providing appropriate security patches to their products in a timely and user-friendly manner. In this paper, we present our implementation of IOT SENTINEL, which is a system aimed at protecting the user’s network from vulnerable IoT devices. IOT SENTINEL automatically identifies vulnerable devices when they are first introduced to the network and enforces appropriate traffic filtering rules to protect other devices from the threats originating from the vulnerable devices.