Document Type

Conference Proceeding

Publication Date

5-2014

Subject: LCSH

Computer forensics, Cyber forensics, Mobile device forensics

Disciplines

Computer Engineering | Electrical and Computer Engineering | Forensic Science and Technology

Abstract

In this paper, we present LiFE (Logical iOS Forensics Examiner), an open source iOS backup forensics examination tool. This tool helps both researchers and practitioners alike in both understanding the backup structures of iOS devices and forensically examining iOS backups. The tool is currently capable of parsing device information, call history, voice messages, GPS locations, conversations, notes, images, address books, calendar entries, SMS messages, Aux locations, facebook data and e-mails. The tool consists of both a manual interface (where the user is able to manually examine the backup structures) and an automated examination interface (where the tool pulls out evidence from known files). Additionally, LiFE is designed so that the evidence located in files would retain its integrity. It is important to note that most of the evidence examined by LiFE is parsed from SQLite databases that are backed up by iTunes. LiFE also offers an extensibility option to the user, where an examiner can add new evidence SQLite files to the application that can be automatically parsed, and these known files are then automatically populated in the automated GUI’s toolbar with an icon added to the investigator’s liking.

Comments

This work is licensed under a Creative Commons Attribution 4.0 International License.

(c) 2006-2015 Association of Digital Forensics, Security and Law

Dr. Baggili was appointed to the University of New Haven's Elder Family Endowed Chair in 2015.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Publisher Citation

Baggili, I., Al Awawdeh, S., & Moore, J. (2014, May). LiFE (Logical iOS Forensics Examiner): An Open Source iOS backup forensics examination tool. In Proceedings of the Conference on Digital Forensics, Security and Law (pp. 41-52).

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