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Bc. Andrea Turiaková

Master's thesis

Detecting Malicious URLs

Detecting Malicious URLs
Abstract:
Táto diplomová práca sa zaoberá problematikou detekcie škodlivých URL, bez nutnosti stiahnutia obsahu na ktorý odkazuje. V práci sú teoreticky popísané vlastnosti URL, ich spracovanie a metódy súčasne používané na klasifikáciu URL. Vybrané metódy strojového učenia sú následne aplikované na tento problém a na základe ich úspešnosti je posúdená vhodnosť ich použitia.
Abstract:
This master's thesis focus on the problem of detecting malicious URLs without the need to download the content to which it refers. In the thesis are described URL features, their processing and methods used for URL classification. Selected machine learning methods are then applied to this problem and their suitability is assessed on the basis of the accuracy of their results.
 

Keywords

url detection malicious malware machine learning SVM TensorFlow blacklist strojové učenie
 
Language used: English
Date on which the thesis was submitted / produced: 11. 12. 2019
Identifier: https://is.muni.cz/th/cfw06/

Thesis defence

  • Date of defence: 4. 2. 2020
  • Supervisor: RNDr. Jan Sedmidubský, Ph.D.
  • Reader: prof. RNDr. Václav Matyáš, M.Sc.

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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Masaryk University

Faculty of Informatics

Master programme / field:
Informatics / Information Technology Security

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