COMPARATIVE ANALYSIS OF LOGICAL ACQUISITION USING WONDERSHARE DR. FONE, MOBILEDIT FORENSIC, AND FONEPAW ON ANDROID PHONES
Nuraimi Farhana Salimi1, Nor Bakiah Abd Warif2∗ and Nor-Syahidatul N Ismail3
1Centre for Information Security Research, Faculty of Computer Science & Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia
2Faculty of Computing, College of Computing and Applied Sciences,Universiti Malaysia Pahang, Pekan, Pahang, Malaysia
1This email address is being protected from spambots. You need JavaScript enabled to view it., *2This email address is being protected from spambots. You need JavaScript enabled to view it., 3This email address is being protected from spambots. You need JavaScript enabled to view it.
ABSTRACT
The increasing number of mobile phone usage in storing confidential information, such as mobile online transactions has led to the growing number of research in mobile forensic. There are lot of crimes may happen through mobile phones, such as smishing, bluejacking, and malware attacks. Mobile forensic is a way of collecting any digital evidence on the mobile phone. Logical acquisition is one of the methods for mobile forensic. The methodology for logical acquisition consists of identification, isolation, acquisition, analysis, and documentation. This research aims to study, perform and analyze logical acquisition using Wondershare Dr. Fone for Android, MOBILedit Forensic, and FonePaw for Android in Android-based phones which are Oppo F9 and Samsung S7 Edge. The analysis is based on percentage of capability and time taken for each tested mobile forensic tool on the two selected Android phones. The results show that FonePaw for Android gets the highest average capability (97%) with the shortest time while MOBILedit Forensic obtains the lowest average capability (74%) with the longest time taken. This research may help the forensic investigators team to determine the suitability of mobile forensic tools with Android phones based on the Android features and type of files.
Keywords: Android Forensic, Android Phones, Data Extraction, Logical Acquisition, Mobile Forensic
Published On: 1 October 2022
