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  • Privacy-preserving data mining on blockchain-based WSNs [Elektronski vir]
    Hrovatin, Niki ...
    Currently, the computational power present in the sensors forming a wireless sensor network (WSN) allows for implementing most of the data processing and analysis directly on the sensors in a ... decentralized way. This shift in paradigm introduces a shift in the privacy and security problems that need to be addressed. While a decentralized implementation avoids the single point of failure problem that typically applies to centralized approaches, it is subject to other threats, such as external monitoring, and new challenges, such as the complexity of providing decentralized implementations for data mining algorithms. In this paper, we present a solution for privacy-aware distributed data mining on wireless sensor networks. Our solution uses a permissioned blockchain to avoid a single point of failure in the system. Contracts are used to construct an onion-like structure encompassing the Hoeffding trees and a route. The onion-routed query conceals the network identity of the sensors from external adversaries, and obfuscates the actual computation to hide it from internally compromised nodes. We validate our solution on a use case related to an air qualitymonitoring sensor network. We compare the quality of our model against traditional models to support the feasibility and viability of the solution.
    Source: Applied sciences [Elektronski vir]. - ISSN 2076-3417 (Vol. 12, iss. 11, art. 5646, 2022, str. 1-18)
    Type of material - e-article ; adult, serious
    Publish date - 2022
    Language - english
    COBISS.SI-ID - 110699267

    Link(s):

    https://www.mdpi.com/2076-3417/12/11/5646
    https://doi.org/10.3390/app12115646
    DOI

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