Visible to the public Toward a Sensor Trustworthiness Measure for Grid-Connected IoT-Enabled Smart Cities

TitleToward a Sensor Trustworthiness Measure for Grid-Connected IoT-Enabled Smart Cities
Publication TypeConference Paper
Year of Publication2018
AuthorsCuller, M., Davis, K.
Conference Name2018 IEEE Green Technologies Conference (GreenTech)
ISBN Number978-1-5386-5183-4
KeywordsAnalytical models, bulk power systems, compositionality, critical infrastructures, cyber physical systems, cyber-physical modeling, Cyber-physical systems, grid-connected IoT-enabled smart cities, Hardware, Human Behavior, human factors, Internet of Things, large-scale critical infrastructure systems security, malevolent IoT devices, Perturbation methods, power engineering computing, power system security, Power systems, pubcrawl, resilience, Resiliency, security, security metrics, security of data, sensor trustworthiness measure, sensor verification, situational awareness, smart cities, Smart Grid Sensors, Smart grids, smart power grids, Trusted Computing, trustworthy power generation, Wireless sensor networks

Traditional security measures for large-scale critical infrastructure systems have focused on keeping adversaries out of the system. As the Internet of Things (IoT) extends into millions of homes, with tens or hundreds of devices each, the threat landscape is complicated. IoT devices have unknown access capabilities with unknown reach into other systems. This paper presents ongoing work on how techniques in sensor verification and cyber-physical modeling and analysis on bulk power systems can be applied to identify malevolent IoT devices and secure smart and connected communities against the most impactful threats.

Citation Keyculler_toward_2018