Connected Home Automated Security Monitor (CHASM): Protecting IoT Through Application of Machine Learning
Jeffrey S. Chavis, Anna L. Buczak, Aviel D. Rubin, Lanier A. Watkins · 2020 10th Annual Computing and Communication Workshop and Conference (CCWC) · 2020
The Internet of Things (IoT) will dramatically transform the home experience, but it presents significant security risks. We propose a system that helps reduce the cognitive load on a user in keeping their smart home network protected. The system helps prevent IoT devices from becoming invisible or forgotten by the user and provides semi-autonomous capability to address key security concerns in the connected home. In this paper, we describe the problem, explain specifications for the system, present our work in IoT discovery and IoT device classification portions of the system, and show initial results related to our efforts exploring novel application of machine learning to build this capability.