Capabilities of cellebrite universal forensics extraction device in mobile device forensics

Tole Sutikno, Iqbal Busthomi

Abstract


The powerful digital forensics tool cellebrite universal forensics extraction device (UFED) extracts and analyzes mobile device data, helping investigators solve criminal and cybersecurity cases. Advanced methods and algorithms allow Cellebrite UFED to recover data from erased or obscured devices. Cellebrite UFED can pull data from call logs, texts, emails, and social media, providing valuable evidence for investigations. The use of smartphones and tablets in personal and professional settings has spurred the development of mobile device forensics. The intuitive user interface speeds up data extraction and analysis, revealing crucial information. It can decrypt encrypted data, recover deleted files, and extract data from multiple devices. The sector's best data extraction functionality, Cellebrite UFED, helps forensic analysts gather crucial evidence for investigations. Legal and ethical considerations are crucial in mobile device forensics. Legal considerations include allowing access to data, protecting privacy, and adhering to chain of custody protocols. Ethics include transparency, defamation, and information exploitation protection. Using Cellebrite UFED, researchers can navigate complex data on mobile devices more efficiently and precisely. Artificial intelligence (AI) and machine learning (ML) algorithms may automate data extraction in future tools. Examiners must train, maintain, and establish clear protocols for using Cellebrite UFED in forensic investigations.

Keywords


Cellebrite universal forensics extraction device; Cybersecurity; Digital forensics; Forensic analysts; Forensic investigation; Mobile device forensics

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DOI: https://doi.org/10.11591/csit.v5i3.p254-264

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Computer Science and Information Technologies
p-ISSN: 2722-323X, e-ISSN: 2722-3221
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Universitas Ahmad Dahlan (UAD).

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