ITM Web Conf.
Volume 46, 2022International Conference on Engineering and Applied Sciences (ICEAS’22)
|Number of page(s)||4|
|Published online||06 June 2022|
Mobile Forensics Data Acquisition
1 System Engineering Laboratory, ADSI team, National School of Applied Sciences, IBN TOFAIL University Kenitra, Morocco
2 Laboratory of Systems Analysis, Information Processing and Industrial Management, Higher School of Technology of Salé,Mohammed V University in Rabat, Morocco
* Corresponding author: email@example.com
Mobile technology is among the fastest developing technologies that have changed the way we live our lives. And, with the increase of the need to protect our personal information, smartphone companies have developed multiple types of security protection measures on their devices which makes the forensic data acquisition for law enforcement purposes so much harder. As we all know, one of the biggest tasks in mobile forensics investigation is the step of data acquisition, it is the step of extracting all the valuable information that will help the investigators to bring out all the evidences. In this paper, we will explain the traditional forensic data acquisition methods and the impact of encryption and security protection that been implemented in new smartphones on these methods, we will also present some new mobile forensics methods that will help to bypass the security measures in new generation smartphones, and finally, we will propose a new data extraction model using artificial intelligence.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.