TW-Fogginess: A Trustworthy IoT System based on Mist and Fog Computing

Abstract

Fog and mist computing support the autonomy of distributed IoT devices, maintaining system execution temporally during the cloud network disconnection. However, fog and mist infrastructures should keep data flow continuity, especially if an IoT application requires real-time analysis. We introduce and assess the TW-Fogginess system, which deploys data filtering, resilience, and security mechanisms in a mist-fog-based IoT system. TW-Fogginess contains mist and fog agents, storing data during a network disconnection and reducing transmitted data volume when the communication returns. We use 5,000 simulated sensors in stable connection and during fog and cloud disconnection scenarios. We observe that mist and fog reduce the data size by 89.57% and 95.55%, respectively, in a network reconnection. We evidence that the mist reduces the encrypted data batch transfer time by 23.33% or by 97.11% in a specific situation. Fog reduces the same metric by 40% using RSA encryption and 63.7% with no data encryption.