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master's thesis
Detekcija lažnih blockchain računa primjenom algoritama strojnog učenja
Rijeka: University of Rijeka, Faculty of Engineering, 2024. urn:nbn:hr:190:616049
Mustač, David
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Electronics, Robotics and Automation

Institutional repository: Repository of the University of Rijeka, Faculty of Engineering

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Mustač, D. (2024). Detekcija lažnih blockchain računa primjenom algoritama strojnog učenja (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:616049

Mustač, David. "Detekcija lažnih blockchain računa primjenom algoritama strojnog učenja." Master's thesis, University of Rijeka, Faculty of Engineering, 2024. https://urn.nsk.hr/urn:nbn:hr:190:616049

Mustač, David. "Detekcija lažnih blockchain računa primjenom algoritama strojnog učenja." Master's thesis, University of Rijeka, Faculty of Engineering, 2024. https://urn.nsk.hr/urn:nbn:hr:190:616049

Mustač, D. (2024). 'Detekcija lažnih blockchain računa primjenom algoritama strojnog učenja', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:616049

Mustač D. Detekcija lažnih blockchain računa primjenom algoritama strojnog učenja [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2024 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:190:616049

D. Mustač, "Detekcija lažnih blockchain računa primjenom algoritama strojnog učenja", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:190:616049

Metadata
TitleDetekcija lažnih blockchain računa primjenom algoritama strojnog učenja
Title (english)Detection of fraudulent blockchain accounts with application of machine learning algorithms
AuthorDavid Mustač
MentorZlatan Car (mentor)
Committee memberIvan Volarić (predsjednik povjerenstva)
Committee memberZlatan Car (član povjerenstva)
Committee memberDario Matika (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Electronics, Robotics and Automation)
Rijeka
Defense date and country2024-01-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U ovom diplomskom radu istražena je primjena algoritama strojnog učenja za detekciju i sprječavanje prijevarnih aktivnosti na blockchain mrežama. Autor je analizirao različite oblike prijevare koji prijete blockchain tehnologiji te istražio kako algoritmi strojnog učenja mogu doprinijeti očuvanju njezinog integriteta. Nakon detaljne statističke analize i treniranja različitih algoritama strojnog učenja, autor je procijenio koji od algoritama daje najveću točnost detekcije i odabrani algoritam koristio za izradu ansambla metode u cilju povećanja točnosti detekcije. Konačno, ovaj rad ima za cilj doprinijeti boljem razumijevanju važnosti primjene algoritama strojnog učenja za sigurnost blockchain tehnologije i pružiti smjernice za buduća istraživanja i razvoj.
Abstract (english)
In this Master thesis, the application of machine learning algorithms for the detection and prevention of fraudulent activities on blockchain networks is investigated. The author analyzed the various forms of fraud that threaten blockchain technology and investigated how machine learning algorithms can contribute to preserving its integrity. After a detailed statistical analysis and training of different machine learning algorithms, the author evaluated which of the algorithms gives the highest detection accuracy and used the selected algorithm to create an ensemble of methods in order to increase the detection accuracy. Finally, this paper aims to contribute to a better understanding of the importance of applying machine learning algorithms to the security of blockchain technology and to provide guidance for future research and development.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:616049
Study programmeTitle: Graduate University Study of Electrical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-01-24 10:06:53