Wednesday, May 17, 2023 - 11:00 to 13:00
SCHOOL OF COMPUTER SCIENCE
The School of Computer Science is pleased to present…
MSc Thesis Defense by: Farbod Behnaminia
Date: Wednesday, May 17, 2023
Time: 11:00 AM – 1:00 PM
Location: Essex Hall, Room 122
Reminders: 1. Two-part attendance mandatory (sign-in sheet, QR Code) 2. Arrive 5-10 minutes prior to event starting - LATECOMERS WILL NOT BE ADMITTED. Note that due to demand, if the room has reached capacity, even if you are "early" admission is not guaranteed. 3. Please be respectful of the presenter by NOT knocking on the door for admittance once the door has been closed whether the presentation has begun or not (If the room is at capacity, overflow is not permitted (ie. sitting on floors) as this is a violation of the Fire Safety code). 4. Be respectful of the decision of the advisor/host of the event if you are not given admittance. The School of Computer Science has numerous events occurring soon.
The COVID-19 pandemic has highlighted the importance of contact tracing as a tool for controlling the spread of the virus, but it has also raised concerns about the privacy and security of personal information. Blockchain technology, with its immutability and security features, has the potential to address these concerns. However, traditional blockchain solutions may not be sufficient to protect sensitive personal information, especially when it comes to interoperability with other chains that may have different privacy standards.
Cross-blockchain technology, such as the interoperability feature of the Polkadot network, allows for the creation of a decentralized and distributed contact tracing system that can be used by multiple organizations and jurisdictions while ensuring privacy. This research examines the technical challenges and potential solutions of using cross-blockchain technology for interoperable and scalable digital contact tracing. In this research, we proposed a solution using the Polkadot network, where the personal and contact information is stored on a blockchain, accessible only to authorized parties. The use of cross-blockchain technology and encryption would ensure that sensitive personal information is protected and that only authorized parties can access the data. Additionally, the data on the private blockchain would be shareable with other health authorities or other blockchain networks by using the interoperability feature of the Polkadot network.
Overall, this thesis seeks to demonstrate the potential benefits and limitations of using cross-blockchain technology for digital contact tracing applications and highlights the importance of further research and development in this area by providing recommendations for implementing this technology. With the right approach, it is possible to create a contact tracing solution that is both effective and respects the privacy of individuals.
Keywords: Cross-blockchain Technology, Interoperability, Scalability, Digital Contact Tracing
MSc Thesis Committee:
Internal Reader: Dr. Dima Alhadidi
External Reader: Dr. Mohammad Hassanzadeh
Advisor: Dr. Saeed Samet
Chair: Dr. Hossein Fani
MSc Thesis Defense Announcement
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