ODIN: Obfuscation-Based Privacy-Preserving Consensus Algorithm for Decentralized Information Fusion in Smart Device Networks

摘要: The large spread of sensors and smart devices in urban infrastructures are motivating research the area Internet Things (IoT) to develop new services improve citizens’ quality life. Sensors generate amounts measurement data from sensing environment, which is used enable such as control power consumption or traffic density. To deal with a amount information provide accurate measurements, service providers can adopt fusion, given decentralized nature deployments be performed by means consensus algorithms. These algorithms allow distributed agents (iteratively) compute linear functions on exchanged data, take decisions based outcome, without need for support central entity. However, use raises several security concerns, especially when private critical involved computation.In this article we propose ODIN, novel algorithm allowing fusion over encrypted data. ODIN privacy-preserving extension popular gossip algorithm, prevents having direct access while they iteratively reach consensus; cannot even final value but only retrieve partial (e.g., binary decision). uses efficient additive obfuscation proxy re-encryption during update steps garbled circuits make obfuscated consensus. We discuss our proposal show its practicability efficiency real-world resource-constrained devices, developing prototype implementation Raspberry Pi devices.