The present PhD thesis investigates the application of new technological achievement in many social aspects of a modern city evolving to become a Smart City. One fundamental aspect of digital communication is to ensure a secure and private channel between people or devices. Existing solutions have severe limitations in terms of security and resistance to distributed attacks, and this thesis proposes new approaches based on Blockchain technology to ensure trustiness in communications. In particular, the healthcare sector has been investigated to identify some of the situations that can be prevented to improve patient’s health, considering the clinical condition that could have been prevented by knowing the risk of concomitant therapies thanks to the use of different technologies applied in healthcare. In fact, it is possible to provide feedback on the prescription of drugs at a patient with specific diseases through a Big Data analysis algorithm able to check drugs and diseases relationships and detect possible failures in drugs prescriptions. In general, this PhD thesis collects several research works with the main goal of covering many aspects that can be beneficial for Citizen’s quality of life, both in terms of innovation and security.
Blockchain for Smart Cities: systems, infrastructures and citizens
RUGGERI, Armando
2022-11-29
Abstract
The present PhD thesis investigates the application of new technological achievement in many social aspects of a modern city evolving to become a Smart City. One fundamental aspect of digital communication is to ensure a secure and private channel between people or devices. Existing solutions have severe limitations in terms of security and resistance to distributed attacks, and this thesis proposes new approaches based on Blockchain technology to ensure trustiness in communications. In particular, the healthcare sector has been investigated to identify some of the situations that can be prevented to improve patient’s health, considering the clinical condition that could have been prevented by knowing the risk of concomitant therapies thanks to the use of different technologies applied in healthcare. In fact, it is possible to provide feedback on the prescription of drugs at a patient with specific diseases through a Big Data analysis algorithm able to check drugs and diseases relationships and detect possible failures in drugs prescriptions. In general, this PhD thesis collects several research works with the main goal of covering many aspects that can be beneficial for Citizen’s quality of life, both in terms of innovation and security.File | Dimensione | Formato | |
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