Published Paper Details:

Abstract -- Android DXFA Data Extraction for Forensic Analysis With the rapid proliferation of Android devices, digital forensic investigations increasingly rely on efficient and reliable data extraction techniques. Android DXFA (Data Extraction for Forensic Analysis) focuses on acquiring, preserving, and analyzing digital evidence from Android systems while maintaining data integrity and legal admissibility. This study presents a structured approach to Android data extraction, encompassing logical, physical, and file system acquisition methods. It examines the role of system artifacts such as application data, call logs, messages, and deleted files in reconstructing user activities. The research also highlights challenges associated with device fragmentation, encryption mechanisms, and evolving security features within the Android ecosystem. Advanced forensic tools and techniques are evaluated for their effectiveness in bypassing security restrictions and extracting hidden or deleted data. Furthermore, the paper discusses the importance of maintaining a proper chain of custody and adhering to forensic principles to ensure the credibility of extracted evidence. The proposed DXFA framework enhances the accuracy and efficiency of forensic investigations by integrating automated extraction processes with analytical methodologies. This contributes to improved incident response, cybercrime investigation, and digital evidence management in modern forensic practices.