| Title | Data Acquisition and extraction on mobile devices-A Review |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Da Costa, Alessandro Monteiro, de Sá, Alan Oliveira, Machado, Raphael C. S. |
| Conference Name | 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) |
| Keywords | android, android encryption, chip-off, Combination Firmware, Companies, data mining, digital forensics, Encryption, File-Base encryption, Forensics, full disk encryption, Human Behavior, In-System Programming, Metrics, mobile device, Operating systems, performance evaluation, physical/logical data acquisition, pubcrawl, resilience, Resiliency, Scalability, Systematics |
| Abstract | Forensic Science comprises a set of technical-scientific knowledge used to solve illicit acts. The increasing use of mobile devices as the main computing platform, in particular smartphones, makes existing information valuable for forensics. However, the blocking mechanisms imposed by the manufacturers and the variety of models and technologies make the task of reconstructing the data for analysis challenging. It is worth mentioning that the conclusion of a case requires more than the simple identification of evidence, as it is extremely important to correlate all the data and sources obtained, to confirm a suspicion or to seek new evidence. This work carries out a systematic review of the literature, identifying the different types of existing image acquisition and the main extraction and encryption methods used in smartphones with the Android operating system. |
| DOI | 10.1109/MetroInd4.0IoT54413.2022.9831724 |
| Citation Key | da_costa_data_2022 |
Data Acquisition and extraction on mobile devices-A Review