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master's thesis
Mrežna forenzika: metode i alati
Split: University of Split, University Department for Forensic Sciences, 2022. urn:nbn:hr:227:092774
Mrkonjić, Danko
University of Split
University Department of Forensic Sciences

Institutional repository: Repository of University Department for Forensic Sciences

Cite this document

Mrkonjić, D. (2022). Mrežna forenzika: metode i alati (Master's thesis). Split: University of Split, University Department of Forensic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:227:092774

Mrkonjić, Danko. "Mrežna forenzika: metode i alati." Master's thesis, University of Split, University Department of Forensic Sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:227:092774

Mrkonjić, Danko. "Mrežna forenzika: metode i alati." Master's thesis, University of Split, University Department of Forensic Sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:227:092774

Mrkonjić, D. (2022). 'Mrežna forenzika: metode i alati', Master's thesis, University of Split, University Department of Forensic Sciences, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:227:092774

Mrkonjić D. Mrežna forenzika: metode i alati [Master's thesis]. Split: University of Split, University Department of Forensic Sciences; 2022 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:227:092774

D. Mrkonjić, "Mrežna forenzika: metode i alati", Master's thesis, University of Split, University Department of Forensic Sciences, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:227:092774

Metadata
TitleMrežna forenzika: metode i alati
Title (english)Network forensics: methods and tools
AuthorDanko Mrkonjić
MentorToni Perković (mentor)
Committee memberJosip Kasum (predsjednik povjerenstva)
Committee memberNina Mišić Radanović (član povjerenstva)
Committee memberToni Perković (član povjerenstva)
GranterUniversity of Split
University Department of Forensic Sciences
Split
Defense date and country2022-09-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Interdisciplinary Technical Sciences
Abstract
Kroz rad smo jasno definirali pojam mrežne forenzike, koji su ciljevi i prijetnje mrežnoj sigurnosti te koja je uloga mrežnog forenzičara između ostvarivanja ciljeva i prijetnji. Prikazali smo na koji način se prikupljaju dokazi te smo vidjeli kako svaki kontakt u mreži ostavlja digitalni trag što je jako bitno za prepoznavanje izvora dokaza te utvrđivanja mjesta nastanka dokaza, odnosno kako te dokaze pravovremeno osigurati i pohraniti. Jasno smo razradili i objasnili što su to uljezi u mreži, kako postaviti sustav za otkrivanje uljeza te kako spriječiti upade novih uljeza u mrežu. Jako bitna stvar u prikupljanju dokaza su evidencije, odnosno zapisi o svim aktivnostima u mreži, a koje ćemo kasnije iskoristiti kao dokaze te naknadnu analizu prilikom forenzičkog istraživanja. Kroz rad smo prikazali osnovne alate mrežnog forenzičara, a to su najpopularnija softverska rješenja današnjice za hvatanje i analizu mrežnog prometa, spremanje sadržaja memorije i osluškivanje rada u mreži te za sprječavanje upada u mrežu.
Abstract (english)
Through the work, we have clearly defined the term network forensics, what are the goals and threats to network security and what is the role of the network forensics expert between achieving goals and threats. We showed how evidence is collected and we saw how every contact in the network leaves a digital trail, which is very important for identifying the source of evidence and determining the place of origin of the evidence, that is, how to secure and store this evidence in a timely manner. We have clearly elaborated and explained what intruders are in the network, how to set up a system to detect intruders and how to prevent new intruders from entering the network. A very important thing in the collection of evidence are records, that is, records of all activities in the network, which we will later use as evidence and subsequent analysis during forensic research. Through the work, we presented the basic tools of the network forensics, which are today's most popular software solutions for capturing and analyzing network traffic, saving memory content and listening to network activity and for preventing network intrusions.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:227:092774
Study programmeTitle: Forensic Sciences
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra forenzike (magistar/magistra forenzike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2022-10-04 13:34:07