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master's thesis
Meta-heuristički algoritmi za otkrivanje zlonamjernog softvera
Zagreb: University of Zagreb, Faculty of Science, 2020. urn:nbn:hr:217:797354
Stanišić, Matea
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Stanišić, M. (2020). Meta-heuristički algoritmi za otkrivanje zlonamjernog softvera (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:797354

Stanišić, Matea. "Meta-heuristički algoritmi za otkrivanje zlonamjernog softvera." Master's thesis, University of Zagreb, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:217:797354

Stanišić, Matea. "Meta-heuristički algoritmi za otkrivanje zlonamjernog softvera." Master's thesis, University of Zagreb, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:217:797354

Stanišić, M. (2020). 'Meta-heuristički algoritmi za otkrivanje zlonamjernog softvera', Master's thesis, University of Zagreb, Faculty of Science, accessed 08 December 2024, https://urn.nsk.hr/urn:nbn:hr:217:797354

Stanišić M. Meta-heuristički algoritmi za otkrivanje zlonamjernog softvera [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2020 [cited 2024 December 08] Available at: https://urn.nsk.hr/urn:nbn:hr:217:797354

M. Stanišić, "Meta-heuristički algoritmi za otkrivanje zlonamjernog softvera", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:217:797354

Metadata
TitleMeta-heuristički algoritmi za otkrivanje zlonamjernog softvera
Title (english)Meta-heuristic algorithms for detecting malware
AuthorMatea Stanišić
MentorGoranka Nogo (mentor)
Committee memberGoranka Nogo (predsjednik povjerenstva)
Committee memberTina Bosner (član povjerenstva)
Committee memberVjekoslav Kovač (član povjerenstva)
Committee memberMaja Resman (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2020-12-02, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
U ovom radu predstavljen je problem otkrivanja zlonamjernog softvera. Kako bi problem bio razumljiviji, obrađena je i tema definicije zlonamjernog softvera, njegovih kategorija, ali i njegova analiza te tehnike otkrivanja. Po prvi puta, za opisani problem, koristilo se meta-heurističko pčelinje programiranje čija implementacija je opisana u Poglavlju 3. Algoritam je testiran na četiri različita skupa podataka čiji rezultati su također prezentirani u ovome radu. Konačno, pokazalo se da pčelinje programiranje daje zadovoljavajuće rezultate pri rješavanju ovoga problema, ali ima i potencijala za njegov napredak.
Abstract (english)
This thesis presents the malware detection problem. In order to make the problem more understandable, the definition of malware, its categories, but also its analysis and detection techniques are also covered. For the first time, a metaheuristic artificial bee colony programming was used for the described problem. The implementation is presented in Chapter 3. The algorithm was tested on four different data sets, the results of which are also presented in this thesis. Finally, artificial bee colony programming has provided satisfactory results in solving this problem, but there is also potential for its progress.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:797354
Study programmeTitle: Computer Science and Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra računarstva i matematike (magistar/magistra računarstva i matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-02-24 13:36:27