| Title | Edge AI and Blockchain for Privacy-Critical and Data-Sensitive Applications |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Nawaz, A., Gia, T. N., Queralta, J. Peña, Westerlund, T. |
| Conference Name | 2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU) |
| Keywords | AI, artificial intelligence, blockchain, cloud computing, cloud servers, data privacy, Data processing, data-sensitive applications, Distributed databases, e-health, edge AI, edge artificial intelligence, edge computing, Electrocardiography, ethereum, Ethereum blockchain based architecture, Fall Detection, feature extraction, fog computing paradigms, Human Behavior, human factors, Internet of Things, IoT, Logic gates, Medical services, network architecture, network load, privacy, privacy-critical systems, pubcrawl, resilience, Resiliency, responsive systems, Scalability, security vulnerabilities, smarter systems, U-Health, Ubiquitous Health |
| Abstract | The edge and fog computing paradigms enable more responsive and smarter systems without relying on cloud servers for data processing and storage. This reduces network load as well as latency. Nonetheless, the addition of new layers in the network architecture increases the number of security vulnerabilities. In privacy-critical systems, the appearance of new vulnerabilities is more significant. To cope with this issue, we propose and implement an Ethereum Blockchain based architecture with edge artificial intelligence to analyze data at the edge of the network and keep track of the parties that access the results of the analysis, which are stored in distributed databases. |
| DOI | 10.23919/ICMU48249.2019.9006635 |
| Citation Key | nawaz_edge_2019 |
Edge AI and Blockchain for Privacy-Critical and Data-Sensitive Applications