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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62370
Volume:
10 |
5 |
May 2026
Pages:
1-9
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Master of Forensic Science
Garden City University
Master of Forensic Science
Garden City University
The rapid evolution of mobile technology, coupled with the widespread adoption of advanced encryption mechanisms, has significantly impacted the field of digital forensics. Mobile devices now store vast amounts of sensitive personal and organizational data, making them critical sources of digital evidence in criminal investigations. However, strong encryption techniques, secure boot processes, and privacy-focused operating systems have introduced substantial challenges for forensic investigators. This research paper presents a comparative analysis of leading mobile forensic tools, focusing on their extraction efficacy in encrypted environments. Tools such as Cellebrite UFED, Oxygen Forensic Detective, and Autopsy are evaluated based on their ability to perform logical, file system, and physical data extractions across different mobile platforms. The study examines factors such as data recovery rate, handling of encrypted data, compatibility with various devices, and overall reliability. The findings aim to highlight the strengths and limitations of each tool, particularly in scenarios involving locked or encrypted devices. This research contributes to the field by providing insights that can assist forensic practitioners, law enforcement agencies, and researchers in selecting appropriate tools for modern investigative challenges. Furthermore, it emphasizes the need for continuous innovation in forensic technologies to keep pace with evolving security mechanisms.
KEYWORDS
This study set out to understand how selected mobile forensic tools behave when used on devices protected by modern security controls. The observations make it clear that tool performance is not fixed and varies depending on the environment in which it is applied. Solutions like Cellebrite UFED and Oxygen Forensic Detective tend to produce more dependable results across different situations, but their success is still limited when devices enforce strong protection mechanisms. This shows that investigative outcomes are shaped not only by the tool itself but also by the surrounding technical conditions. A key takeaway from the analysis is that the nature of evidence collection has changed. In many cases, it is no longer possible to retrieve all stored information from a device. Instead, investigators must rely on smaller pieces of available data and use them to reconstruct events. This increases the importance of reasoning and interpretation, as meaningful conclusions must often be drawn from incomplete inputs rather than full datasets. The comparison of extraction approaches further demonstrates that each method serves a different purpose. Some techniques are useful for quickly gathering accessible information, while others aim to provide a deeper view of device activity but are harder to execute. Because of this, no single method can be applied in every situation. Effective investigation requires selecting an approach that fits the specific conditions of the device and, where necessary, combining multiple techniques. The study also highlights differences between tool categories. While platforms such as Autopsy are helpful for structured examination and learning, they may not perform as effectively in highly secured environments. This indicates that there is still a gap between accessibility and advanced capability, which needs to be addressed in future development. Another important point is that relevant information is not always stored only on the device. With many applications relying on remote storage, investigators must often consider data that exists outside the physical device. This expands the scope of analysis and requires a broader investigative approach. In practical situations, factors such as time, complexity, and ease of use also influence decision-making. Sometimes faster results are necessary, even if they provide limited detail, while in other cases deeper analysis is required. This creates a balance between speed and depth that must be managed carefully depending on the needs of the investigation.
1.Casey,E. Digital Evidence and Computer Crime (3rd ed.). Elsevier.https://www.sciencedirect.com/book/9780123742681 2. Nelson, B., Phillips, A., Steuart, C. Guide to Computer Forensics and Investigations. Cengage Learning. https://www.cengage.com 3. Hoog, A. Android Forensics: Mobile Security Analysis. Elsevier Science. https://www.sciencedirect.com 4. Carrier, B. File System Forensic Examination. Addison-Wesley. https://www.pearson.com 5. Sachowski, J. Digital Forensic Readiness Frameworks. Syngress Publishing. https://www.elsevier.com 6. NIST (2014). Guidelines for Mobile Device Forensics (SP 800-101 Rev.1). https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-101r1.pdf 7. ISO/IEC 27037: Principles for Digital Evidence Handling (2012). https://www.iso.org/standard/44381.html 8. Cellebrite. Technical documentation for UFED forensic solutions. https://www.cellebrite.com 9. Oxygen Forensics. Product documentation and forensic tool guide. https://www.oxygen-forensic.com 10. Autopsy Digital Forensics Platform (Sleuth Kit Labs). https://www.autopsy.com
Publication Date
5/3/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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