Naresh K. Sehgal¹, Shiv Shankar² and John M. Acken³, ¹Intel Corp, USA, ²Chief Data Scientist, Maphalli, India and ³Portland State University, USA

IoT (Internet of Things), represents many kinds of devices in the field, connected to data-centers via various networks, submitting data, and allow themselves to be controlled. Connected cameras, TV, media players, access control systems, and wireless sensors are becoming pervasive. Their applications include Retail Solutions, Home, Transportation and Automotive, Industrial and Energy etc. This growth also represents security threat, as several hacker attacks been launched using these devices as agents. We explore the current environment and propose a quantitative and qualitative trust model, using a multi-dimensional exploration space, based on the hardware and software stack. This can be extended to any combination of IoT devices, and dynamically updated as the type of applications, deployment environment or any ingredients change.

Edge Computing, Security, Adaptive learning, Trust model, Threats, Cloud Computing, Information Security