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master's thesis
Dinamička detekcija mehanizama za sprečavanje analize zloćudnog koda
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:007978
Novković, Igor
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Novković, I. (2016). Dinamička detekcija mehanizama za sprečavanje analize zloćudnog koda (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:007978

Novković, Igor. "Dinamička detekcija mehanizama za sprečavanje analize zloćudnog koda." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:007978

Novković, Igor. "Dinamička detekcija mehanizama za sprečavanje analize zloćudnog koda." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:007978

Novković, I. (2016). 'Dinamička detekcija mehanizama za sprečavanje analize zloćudnog koda', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 12 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:007978

Novković I. Dinamička detekcija mehanizama za sprečavanje analize zloćudnog koda [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2025 January 12] Available at: https://urn.nsk.hr/urn:nbn:hr:168:007978

I. Novković, "Dinamička detekcija mehanizama za sprečavanje analize zloćudnog koda", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:007978

Metadata
TitleDinamička detekcija mehanizama za sprečavanje analize zloćudnog koda
Title (english)Dynamic Detection of Anti-Reverse Techniques to Prevent Malware Analysis
AuthorIgor Novković
MentorStjepan Groš (mentor)
Committee memberStjepan Groš (predsjednik povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
Committee memberVlado Sruk (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Zlonamjerni programi veliki su problem današnjom informatickoj sigurnosti. Kako bi se navedni programi mogli prepoznati i ukloniti potrebna je njihova detaljna analiza. Analiza zlocudnog koda, koja je teška sama po sebi, otežana je mehanizmima za spre- cavanje analize koda koji oduzimaju dragocjeno vrijeme tijekom analize. Tijekom ovog diplomskog rada razvijen je sustav koji bi mogao pomoci u prepoznavanju na- vedenih mehanizama te time ubrzati postupak analize zlocudnih kodova. U radu dan je uvod u problematiku analize zlocudnih kodova, opisan je izgradeni sustavi te su predstavljeni rezultati sustava.
Abstract (english)
Malicious programs are a big problem for today’s informatic security. To be able to recognize and remove malicious programs it is necesseary to analyse them. Malware analysis, which is hard by itself, is made even more difficult by various anti-debug techniques which steel precious time during analysis. During this master’s thesis a system has been designed and implemented which could help to shorten time needed for malware analyis by recognizing anti-debug techniques. In this work intro to pro- blem of malware analysis is given, designed system is described and it’s results are represented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:007978
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
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Created on2018-02-06 10:56:47