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master's thesis
Detekcija algoritamski generiranih imena domena
2020. urn:nbn:hr:168:467284
Galovac, Željka
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Galovac, Ž. (2020). Detekcija algoritamski generiranih imena domena (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:467284

Galovac, Željka. "Detekcija algoritamski generiranih imena domena." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:467284

Galovac, Željka. "Detekcija algoritamski generiranih imena domena." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:467284

Galovac, Ž. (2020). 'Detekcija algoritamski generiranih imena domena', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:467284

Galovac Ž. Detekcija algoritamski generiranih imena domena [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 August 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:467284

Ž. Galovac, "Detekcija algoritamski generiranih imena domena", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:467284

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Metadata
TitleDetekcija algoritamski generiranih imena domena
Title (english)Detection of algorithmically generated domain names
AuthorŽeljka Galovac
MentorAnte Đerek (mentor)
Committee memberAnte Đerek (predsjednik povjerenstva)
Committee memberStjepan Groš (član povjerenstva)
Committee memberMarin Golub (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Zloćudne obitelji koje koriste algoritme za generiranje imena domena se svakodnevno ažuriraju i kompromitiraju sve više novih poslužitelja. Istraživači konstantno ulažu napore u smišljanje klasifikatora koji bi uspješno detektirao sve nove umjetno generirane domene, no nailaze na mnoge prepreke od kojih su najznačajnije ogromna količina računalnih resursa i analiza mrežnog prometa. Cilj ovog rada je objasniti zbog čega je detekcija umjetno generiranih domena zahtjevan problem i prikazati performanse različitih klasifikatora koji su se pokazali kao dobrim modelima za detekciju.
Abstract (english)
Malicious families based on domain generation algorithms are updated daily and keep on compromising new servers on a daily basis. Researchers are constantly making efforts to create a classifier that would successfully detect all new artificially generated domains but they encounter many obstacles, the most significant of which are the huge amount of computer resources and network traffic analysis. The aim of this paper is to explain why the detection of algorithmically generated domains is a complicated problem and to present the performance of different classifiers that have proven to be good models for detection.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:467284
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 10:00:00