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master's thesis
Primjena heuristike u identifikaciji samoprapagirajućeg malwarea
2012. urn:nbn:hr:211:582822
Rubil, Ivan
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Cite this document

Rubil, I. (2012). Primjena heuristike u identifikaciji samoprapagirajućeg malwarea (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:582822

Rubil, Ivan. "Primjena heuristike u identifikaciji samoprapagirajućeg malwarea." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2012. https://urn.nsk.hr/urn:nbn:hr:211:582822

Rubil, Ivan. "Primjena heuristike u identifikaciji samoprapagirajućeg malwarea." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2012. https://urn.nsk.hr/urn:nbn:hr:211:582822

Rubil, I. (2012). 'Primjena heuristike u identifikaciji samoprapagirajućeg malwarea', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:211:582822

Rubil I. Primjena heuristike u identifikaciji samoprapagirajućeg malwarea [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2012 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:211:582822

I. Rubil, "Primjena heuristike u identifikaciji samoprapagirajućeg malwarea", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2012. Available at: https://urn.nsk.hr/urn:nbn:hr:211:582822

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Metadata
TitlePrimjena heuristike u identifikaciji samoprapagirajućeg malwarea
Title (english)The use of heuristics in identifying self-propagating malware code
AuthorIvan Rubil
MentorMiroslav Bača (mentor)
MBZ: 235084
Committee memberKornelije Rabuzin
MBZ: 246472
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2012-10-11, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Samopropagiranje malwera postalo je glavna prijetnja računalima. Neki od danas postojećih sustava zaštite nisu dovoljno kvalitetni u obrani od ovog tipa napada. Malware je sve napredniji te se stalno pojavljuju nove tehnike za izbjegavanje detekcije od strane antivirusnog softvera. Heuristika pomaže da se detektira novi malware koji koji koristi tehnike za izbjegavanje detekcije.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:582822
Study programmeTitle: Database and Knowledge Base Studies
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2017-01-27 08:02:07