prikaz prve stranice dokumenta Forenzička analiza SQLite baze podataka Android uređaja
  Download
PDF 2.2 MB
master's thesis
Forenzička analiza SQLite baze podataka Android uređaja
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. urn:nbn:hr:119:348517
Soldo, Marko
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Transport
Department of Information and Communications Traffic

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Soldo, M. (2020). Forenzička analiza SQLite baze podataka Android uređaja (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:348517

Soldo, Marko. "Forenzička analiza SQLite baze podataka Android uređaja." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:119:348517

Soldo, Marko. "Forenzička analiza SQLite baze podataka Android uređaja." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:119:348517

Soldo, M. (2020). 'Forenzička analiza SQLite baze podataka Android uređaja', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:119:348517

Soldo M. Forenzička analiza SQLite baze podataka Android uređaja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2020 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:119:348517

M. Soldo, "Forenzička analiza SQLite baze podataka Android uređaja", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:119:348517

Metadata
TitleForenzička analiza SQLite baze podataka Android uređaja
Title (english)SQLite Database Forensic Analysis of an Android Device
AuthorMarko Soldo
MentorSiniša Husnjak (mentor)
Committee memberDragan Peraković (predsjednik povjerenstva)
Committee memberIvan Cvitić (član povjerenstva)
Committee memberMarko Periša (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Transport)
(Department of Information and Communications Traffic)
Zagreb
Defense date and country2020-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Postal and Telecommunications Traffic
Abstract
Pametni mobilni telefoni danas čine osnovu mnogih ljudskih djelatnosti i aktivnosti. Posljedica toga je kreiranje velike količine podataka. Podaci su često privatne prirode te sadrže osjetljive korisničke informacije. Zbog toga je vrijednost podataka danas veća nego ikad prije. Takav trend pogoduje razvoju digitalne forenzičke analize kao posebne grane forenzičke znanosti. Često su podaci dobiveni metodama forenzičke analize neprocjenjiv izvor dokaza u postupcima kaznenih istraga. U diplomskom radu je obavljen postupak ekstrakcije podataka Android pametnog mobilnog telefona. Također, postupak je povezan s internom SQLite bazom podataka u fazi analize. Teorijsku podlogu čini opis interne arhitekture SQLite baze podataka. Osim toga, navedeni su postupci i metodologije procesa forenzičke analize. Cilj diplomskog rada je dobivanje uvida u osnovne mogućnosti Andriller i Autopsy forenzičkih alata te SQLite baze podataka na primjeru prosječnog korisnika.
Abstract (english)
Smartphones today make the basis of many human activities. The consequence is the creation of a large amount of data. The data is often private in nature and contains sensitive user information. As a result, the value of data is higher today than ever before. Such a trend favors the development of digital forensic analysis as a special branch of forensic science. Often, data obtained by forensic analysis methods are an invaluable source of evidence in criminal investigation proceedings. In this graduate thesis, the data extraction procedure of an Android smartphone was performed. Also, the process is linked to the internal SQLite database in the analysis phase. The theoretical basis is a description of the internal architecture of the SQLite database. In addition, the procedures and methodologies of the forensic analysis process are listed. The aim of the graduate thesis is to gain insight into the basic capabilities of Andriller and Autopsy forensic tools and SQLite database on the example of the average user.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:348517
Study programmeTitle: Traffic and Transport; specializations in: Road Traffic and Transport, Railway Traffic and Transport, Water Traffic and Transport, Air Traffic and Transport, Postal Traffic, Information and Communication Traffic, Urban Traffic and Transport
Course: Road Traffic and Transport
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka prometa (magistar/magistra inženjer/inženjerka prometa)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-10-16 13:33:05