Quantitative Fraud Analysis on Mobile Platforms – Bc. Josef Frola
Bc. Josef Frola
Master's thesis
Quantitative Fraud Analysis on Mobile Platforms
Quantitative Fraud Analysis on Mobile Platforms
Abstract:
Tato práce představuje komplexní analýzu kvantitativní detekce podvodů na mobilních platformách s důrazem na využití technik strojového učení pro detekci a analýzu podvodných aktivit. Výzkum zahrnuje různé zdroje dat, jako jsou údaje z akcelerometru, gyroskopu a interakce uživatele s displejem. Cílem výzkumu je vyvinout modely, které mohou účinně identifikovat a předpovídat podvodné chování. Tato studie …moreAbstract:
This thesis presents a comprehensive analysis of quantitative fraud detection on mobile platforms, focusing on applying machine learning techniques to detect and analyze fraudulent activities. The research incorporates various data sources, including accelerometer, gyroscope, and touch interaction data, to develop models that can effectively identify and predict fraudulent behaviors. This study demonstrates …more
Language used: English
Date on which the thesis was submitted / produced: 21. 5. 2024
Identifier:
https://is.muni.cz/th/yhrfp/
Thesis defence
- Date of defence: 17. 6. 2024
- Supervisor: prof. Ing. Pavel Zezula, CSc.
- Reader: RNDr. Vladimír Míč, Ph.D.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Software Engineering / Design and development of software systems
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