03465ntm a22005417i 4500 000551525 CZ-PrVSE 20190127101544.0 m d cr n|||||||||| 190127s2018 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Constantinov, Daria ISIS:119450 dis Forenzní analýza mobilních aplikací eng Forensic analysis of mobile applications / Daria Constantinov 2018 ?? stran : digital, PDF soubor Vedoucí práce: Vilém Sklenák Bakalářská práce (Bc.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2019 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2019 The increased use of different types of applications on mobile phones makes these devices a goldmine of personal information for forensic investigators. Mobile devices can store potential evidence, which can be acquired with the forensic tools and analysis. This bachelor’s thesis focuses on performing forensic analysis of twelve mobile applications, such as Messenger, WhatsApp, Viber, iMessage, Google Chrome, Safari, Firefox, Opera Mini, Google Maps, Apple Maps, Mapy.cz, and Waze. The applications are categorized into three types of mobile applications, namely communicating, maps and navigation, and browsing. The study was conducted on iPhone 6, on which were installed mentioned applications. In each application were performed specific user activities. Then three types of extractions were conducted, specifically logical, file system, and advanced logical. After that manual forensic analysis was performed on the acquired data. The forensic analysis aimed to determine whether specific activities conducted through chosen applications were saved and stored on the device. The study led to the conclusion that almost no traces could be recovered from applications for navigation, except Waze. Applications for socializing and browsing gave the opportunity to extract a substantial amount of valuable personal data that can be used by forensic investigators for solving criminal cases. Způsob přístupu: Internet aplikovaná informatika [obor bakal. práce] bakalářské práce fd132403 czenas bachelor's theses eczenas Forensic analysis Forensic tool iPhone mobile phone Data extraction Cellebrite UFED Sklenák, Vilém, 1963- mzk2004257481 ths Světlík, Marián ISIS:128950 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/63732/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/63732 Hlavní práce https://insis.vse.cz/zp/63732/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/63732/posudek/oponent/59568 Oponentura https://insis.vse.cz/zp/63732/priloha/17915 Přiloha k práci https://insis.vse.cz/zp/63732/podrobnosti dc:identifier NEPOSILAT VSKP vse63732 190123 63732