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master's thesis
Prepoznavanje programskih modula u izvršnim datotekama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:042877
Deljkić, Žad
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Deljkić, Ž. (2017). Prepoznavanje programskih modula u izvršnim datotekama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:042877

Deljkić, Žad. "Prepoznavanje programskih modula u izvršnim datotekama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:042877

Deljkić, Žad. "Prepoznavanje programskih modula u izvršnim datotekama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:042877

Deljkić, Ž. (2017). 'Prepoznavanje programskih modula u izvršnim datotekama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:042877

Deljkić Ž. Prepoznavanje programskih modula u izvršnim datotekama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:042877

Ž. Deljkić, "Prepoznavanje programskih modula u izvršnim datotekama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:042877

Metadata
TitlePrepoznavanje programskih modula u izvršnim datotekama
Title (english)Identifying Software Modules in Executable Files
AuthorŽad Deljkić
MentorPredrag Pale (mentor)
Committee memberPredrag Pale (predsjednik povjerenstva)
Committee memberZvonko Kostanjčar (član povjerenstva)
Committee memberDražen Jurišić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad opisuje dizajn sustava neovisnog o platformi koji omogućuje automatsku detekciju zloćudnih programa, ponovne uporabe dijelova programskog koda, statički povezanog koda treće strane te ranjivih funkcija u izvršnom kodu. Jezgra sustava je algoritam za generiranje potpisa funkcija koji obuhvaća funkcionalnost te je otporan na nefunkcionalne promjene. Sustav je implementiran za Common Language Infrastructure platformu te evaluiran kao sustav za prepoznavanje poznatih funkcija te sustav za detekciju malicioznih programa. Rezultati evaluacije pokazuju da sustav ima potencijala za korištenje u rješavanju problema u stvarnome svijetu.
Abstract (english)
This thesis describes a platform-independent system designed to be capable of automated detection of malicious programs, re-used parts of code, statically linked third party code and vulnerable functions in executable code. The core of the system is an algorithm for generating function signatures that captures functionality, while being resistant to non-functional changes. The system was implemented for the Common Language Infrastructure platform, and evaluated as a library function recognition system and a malware detection system. The evaluation results show that the system has potential to be used in solving real-world problems.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:042877
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 on2019-03-13 19:55:42