Security Analysis of Large Scale IoT Network for Pollution Monitoring in Urban India

The surge in the development and adoption of Internet of Things (IoT)-enabled smart city technologies has brought with it a diverse set of critical security challenges. In this paper, protocol and network security threats pertaining to a large-scale IoT-enabled pollution monitoring sensor network, AirIoT, deployed in and around an educational campus in the Indian city of Hyderabad, have been explored. Using the STRIDE methodology, the paper assesses various threat vectors for the deployment. As solutions, the paper proposes an approach for end-to-end encryption, protocol and dashboard security, and a proof of concept deauthentication detector. This baseline threat analysis and risk assessment can provide a foundation for securing Wi-Fi and mobile network-based large-scale IoT deployments.