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dc.contributor.advisorAlam, Md. Golam Rabiul
dc.contributor.authorMonem, Maruf
dc.date.accessioned2022-09-05T06:17:30Z
dc.date.available2022-09-05T06:17:30Z
dc.date.copyright2022
dc.date.issued2022-04
dc.identifier.otherID 20366005
dc.identifier.urihttp://hdl.handle.net/10361/17163
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2022.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 48-51).
dc.description.abstractCryptocurrencies are the new form of trade that has revolutionized how we look into our financial institutions. Bitcoin dominates the industry with the highest market share among the hundreds of other cryptocurrencies. However, high energy consumption leading to increasing carbon emission, prioritizing high-value transactions, and long waiting times are some of the flaws preventing it from reaching its full potential. Due to the block rewards getting halved every four years, miners and researchers are fearful that this would be the breaking point of Bitcoin’s success. One of the ways to tackle and hopefully reduce this problem while bringing wider adaptability is by ensuring faster transactions. Currently, Bitcoin has an average block size of 1MB, which many researchers and enthusiasts believe is insufficient. To tackle these limitations, we have proposed two different ideas. Our first concept proposes an industry 4.0 compliant next-generation Bitcoin architecture by introducing a dynamic and sustainable block concept. Using our improved knapsack algorithm, a priority-based 0/1 knapsack and advanced priority-based 0/1 knapsack, we can ensure a balanced transaction selection, quicker verification, higher transaction throughput, reduced carbon emission, and increased earnings for the miners. Moreover, with the addition of only one of our proposed sustainable blocks, we can cut down verification times by 50% and increase throughput by 2.56 times. We can also reduce carbon emissions per transaction by 62.318%, which would help reduce Bitcoins’ large carbon footprint, enabling us to approach greener digital transactions. In the second concept, we further try to improve the block sizes using the help of machine learning and artificial intelligence. Our proposed model analyzes the network’s activity, such as incoming transaction frequency and other aspects, to adjust block sizes. The model can predict block sizes with 61.12% accuracy, and we can see a positive change in the amount of fees earned by miners (9.3%), transaction count and transaction per second (66.75%). With the help of our model, Bitcoin would be able to dynamically change the block size based on the transaction activity, resulting in shorter wait times, thus increasing wider adaptability and sustainability.en_US
dc.description.statementofresponsibilityMaruf Monem
dc.format.extent51 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectBitcoinen_US
dc.subjectBlockchainen_US
dc.subjectKnapsacken_US
dc.subjectSustainabilityen_US
dc.subject.lcshCryptocurrencies
dc.subject.lcshMachine learning
dc.titleA sustainable Bitcoin architectureen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeM. Computer Science and Engineering


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