prikaz prve stranice dokumenta Praćenje upotrebe računala radi detekcije neovlaštenog korištenja
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master's thesis
Praćenje upotrebe računala radi detekcije neovlaštenog korištenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:754628
Gutlić, Belma
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Gutlić, B. (2017). Praćenje upotrebe računala radi detekcije neovlaštenog korištenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:754628

Gutlić, Belma. "Praćenje upotrebe računala radi detekcije neovlaštenog korištenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:754628

Gutlić, Belma. "Praćenje upotrebe računala radi detekcije neovlaštenog korištenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:754628

Gutlić, B. (2017). 'Praćenje upotrebe računala radi detekcije neovlaštenog korištenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:754628

Gutlić B. Praćenje upotrebe računala radi detekcije neovlaštenog korištenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:754628

B. Gutlić, "Praćenje upotrebe računala radi detekcije neovlaštenog korištenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:754628

Metadata
TitlePraćenje upotrebe računala radi detekcije neovlaštenog korištenja
Title (english)Monitoring User Behavior on a Computer System to Detect Unauthorized Use
AuthorBelma Gutlić
MentorStjepan Groš (mentor)
Committee memberStjepan Groš (predsjednik povjerenstva)
Committee memberVlado Sruk (član povjerenstva)
Committee memberVlado Glavinić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Postojeći sigurnosni problemi su većinom bazirani na detekciji prijetnji malicioznih programa koristeći definirani skup uzoraka i pravila. Problem neovlaštenog korištenja računala ne pokriva takav skup pravila i nije moguće deterministički odrediti je li se dogodilo preuzimanje računala ili ne. U ovom radu, predložen je sustav koji identificira korisničke akcije i detektira nepravilnosti u realnom vremenu na osnovu analize ponašanja korisnika. U izgradnji sustava korišten je Osquery alat za dobivanje korisničkih zapisa od Linux operacijskog sustava, a pomoću implementacije strojnog učenja predviđa se korisnikov sljedeći korak nakon kojeg se akcija, na osnovu prethodne predikcije, identificira kao ovlaštena ili neovlaštena.
Abstract (english)
Existing security solutions are mostly based on preventing known malicious threats or a defined set of rules and patterns. But there is a problem in detecting unauthorized used of a computer system which can't be solved with such defined rules and deterministically define if computer system was taken over or not. In this paper, the proposed system is an adaptive user action identifier which can predict and detect anomalous behavior, in real time, based on user and entity behavior analytics (UEBA). In this work, an Osquery framework has been used to acquire user actions logs from Linux operating system and the implementation of machine learning algorithms to predict user's next step and identify next action as malicious or not.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:754628
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 20:44:59