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Mobile devices have turn out to be a number one source of virtual evidence in contemporary cybercrime
investigations, in particular due to the widespread use of Android smartphones. Extracting and analyzing data from those devices is tough because of encryption mechanisms, confined report systems, and complex utility architectures. This paper gives a complete mobile forensic framework for Android gadgets that integrates more than one tools to make sure green and reliable proof collection. The proposed technique makes use of Android Debug Bridge for logical information extraction, Magnet AXIOM for forensic imaging and deep evaluation, and Mobile Security Framework for utility-level investigation. The machine allows the retrieval of crucial artifacts including call logs, SMS, contacts, media files, and application facts while preserving forensic integrity. The consequences demonstrate that a multi-device methodology substantially improves the accuracy, completeness, and performance of virtual investigations as compared to traditional single-device approaches. This work gives a realistic and scalable answer for cybersecurity experts and law enforcement organizations involved in cell forensic analysis.
Keywords:
Mobile Forensics, Android, ADB, Magnet AXIOM, MobSF, Digital Evidence, Forensic Integrity
Cite Article:
"Mobile Forensic Analysis and Data Extraction for Android Devices ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b82-b86, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604146.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator