Detection of Android Malware Using Machine Learning – Bc. Matúš Šikyňa
Bc. Matúš Šikyňa
Bachelor's thesis
Detection of Android Malware Using Machine Learning
Detection of Android Malware Using Machine Learning
Abstract:
Nielen počet používateľov smartfónov rastie, ale aj objem mobilného malvéru a zraniteľností, čo predstavuje bezpečnostnú hrozbu na viacerých úrovniach. Z toho dôvodu, softvérové spoločnosti a výrobcovia poskytujú aktualizácie systémov spolu s bezpečnostnými záplatami. Napriek snahe o poskytovanie pravidelných aktualizácií pre ochranu používateľov, zariadenia často ostanú nezaplátané po dlhú dobu. Ako …moreAbstract:
The number of global smartphone users is growing, while the volume of mobile malware and vulnerabilities increases as well, which pose a security threat on multiple levels. Therefore, software companies and manufacturers provide updates of the systems along with security patches. Despite the endeavour to provide regular updates to protect the users, the devices are often left unpatched for long periods …more
Language used: English
Date on which the thesis was submitted / produced: 25. 5. 2021
Identifier:
https://is.muni.cz/th/xd0ie/
Thesis defence
- Date of defence: 1. 7. 2021
- Supervisor: Mgr. Antonín Dufka
- Reader: RNDr. Adam Janovský
Citation record
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 InformaticsBachelor programme / field:
Informatics / Artificial Intelligence and Natural Language Processing
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