Forensic Analysis of Social Networking Applications on an Android Smartphone
| Autor: | Mohsin Iftikhar, Waseem Iqbal, Waleed Bin Shahid, Khwaja Mansoor, Anoshia Menahil, Saddaf Rubab |
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| Rok vydání: | 2021 |
| Předmět: |
Technology
Article Subject Computer Networks and Communications Computer science business.industry Internet privacy 020207 software engineering TK5101-6720 02 engineering and technology Criminal investigation Broadcasting (networking) Data extraction 020204 information systems Telecommunication 0202 electrical engineering electronic engineering information engineering Crime scene Spike (software development) Electrical and Electronic Engineering Android (operating system) business Information Systems |
| Zdroj: | Wireless Communications and Mobile Computing, Vol 2021 (2021) |
| ISSN: | 1530-8677 1530-8669 |
| DOI: | 10.1155/2021/5567592 |
| Popis: | Smartphone users spend a substantial amount of time in browsing, emailing, and messaging through different social networking apps. The use of social networking apps on smartphones has become a dominating part of daily lives. This momentous usage has also resulted in a huge spike in cybercrimes such as social harassing, abusive messages, vicious threats, broadcasting of suicidal actions, and live coverage of violent attacks. Many of such crimes are carried out through social networking apps; therefore, the forensic analysis of allegedly involved digital devices in crime scenes and social apps installed on them can be helpful in resolving criminal investigations. This research is aimed at performing forensic investigation of five social networking apps, i.e., Instagram, LINE, Whisper, WeChat, and Wickr on Android smart phones. The essential motivation behind the examination and tests is to find whether the data resides within the internal storage of the device or not after using these social networking apps. Data extraction and analysis are carried out using three tools, i.e., Magnet AXIOM, XRY, and Autopsy. From the results of these experiments, a considerable amount of essential data was successfully extracted from the examined smartphone. This useful data can easily be recovered by forensic analysts for future examination of any crime situation. Finally, we analyzed the tools on the basis of their ability to extract digital evidences from the device and their performance are examined with respect to NIST standards. |
| Databáze: | OpenAIRE |
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