| Title | Toward blockchain-based fog and edge computing for privacy-preserving smart cities |
|---|---|
| ID_Doc | 43474 |
| Authors | Simonet-Boulogne, A; Solberg, A; Sinaeepourfard, A; Roman, D; Perales, F; Ledakis, G; Plakas, I; Sengupta, S |
| Title | Toward blockchain-based fog and edge computing for privacy-preserving smart cities |
| Year | 2022 |
| Published | |
| Abstract | The rapid development of Smart Cities is aided by the convergence of information and communication technologies (ICT). Data is a key component of Smart City applications as well as a serious worry. Data is the critical factor that drives the whole development life-cycle in most Smart City use-cases, according to an exhaustive examination of several Smart City use-cases. Mishandling data, on the other hand, can have severe repercussions for programs that get incorrect data and users whose privacy may be compromised. As a result, we believe that an integrated ICT solution in Smart Cities is key to achieve the highest levels of scalability, data integrity, and secrecy within and across Smart Cities. As a result, this paper discusses a variety of modern technologies for Smart Cities and proposes our integrated architecture, which connects Blockchain technologies with modern data analytic techniques (e.g., Federated Learning) and Edge/Fog computing to address the current data privacy issues in Smart Cities. Finally, we discuss and present our proposed architectural framework in detail, taking into account an online marketing campaign and an e-Health application use-cases. |
| https://www.frontiersin.org/articles/10.3389/frsc.2022.846987/pdf |
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