Privacy-Preserving Data Mining on Blockchain-Based WSNs

Currently, the computational power present in sensors forming a wireless sensor network (WSN) allows for implementing most of data processing and analysis directly on decentralized way. This shift paradigm introduces privacy security problems that need to be addressed. While implementation avoids single point failure problem typically applies centralized approaches, it is subject other threats, such as external monitoring, new challenges, complexity providing implementations mining algorithms. In this paper, we solution privacy-aware distributed networks. Our uses permissioned blockchain avoid system. Contracts are used construct an onion-like structure encompassing Hoeffding trees route. The onion-routed query conceals identity from adversaries, obfuscates actual computation hide internally compromised nodes. We validate our use case related air quality-monitoring network. compare quality model against traditional models support feasibility viability solution.