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Modelling of secure communication system for IoT enabled waste management system
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
Abstract [en]

Urban expansion is a key driving force of our modern world. Increasing environmental footprint is an example issue that is directly caused by it. The city of St. Petersburg employs on average almost 500 garbage trucks on a daily basis and spends more than 1 million US Dollars every year to collect, process and manage waste. In order for megacities, such as St. Petersburg, to cope with its effects, new ideas are needed. This seems to be an obvious area in which technology can be used to improve current practices and help save resources. In this study, we investigate how the Internet of Things, blockchain and Quantum Key Distribution systems can be integrated to provide a safe and efficient method for improving the waste management process in the context of Smart City projects. Our implemented simulations in Mininet show that there are some clear challenges with regards to the adoption of blockchain technology in an IoT environment. However, the integration of quantum channels and the use of Quantum Key Distribution within the blockchain infrastructure shows good potential for balancing the advantages and disadvantages of blockchain. With the implemented simulations we demonstrate the superior capabilities of the Proof of Infrastructure blockchain solution, which can facilitate secure transactions within the waste management scenario.

Place, publisher, year, edition, pages
2019. , p. 83
Keywords [en]
blockchain, internet of things, security, quantum key distribution
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ltu:diva-76028OAI: oai:DiVA.org:ltu-76028DiVA, id: diva2:1351834
External cooperation
ITMO University, St. Petersburg, Russia
Subject / course
Student thesis, at least 30 credits
Educational program
Computer Science and Engineering, master's level (120 credits)
Presentation
2019-06-19, Skelleftea, 22:24 (English)
Examiners
Available from: 2019-09-18 Created: 2019-09-16 Last updated: 2019-09-18Bibliographically approved

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CiteExportLink to record
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  • apa
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