%0 Conference Proceedings
%T A Targeted Data Extraction System for Mobile Devices
%+ Florida State University [Tallahassee] (FSU)
%+ Purdue University [West Lafayette]
%+ University of Alabama in Huntsville (UAH)
%+ University of Tulsa
%+ Microsoft Corporation [Redmond, Wash.]
%+ Dell Technologies
%+ Florida A&M University
%+ IBM
%A Aggarwal, Sudhir
%A Dorai, Gokila
%A Karabiyik, Umit
%A Mukherjee, Tathagata
%A Guerra, Nicholas
%A Hernandez, Manuel
%A Parsons, James
%A Rathi, Khushboo
%A Chi, Hongmei
%A Aderibigbe, Temilola
%A Wilson, Rodney
%Z Part 2: Mobile and Embedded Device Forensics
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 15th IFIP International Conference on Digital Forensics (DigitalForensics)
%C Orlando, FL, United States
%Y Gilbert Peterson
%Y Sujeet Shenoi
%I Springer International Publishing
%3 Advances in Digital Forensics XV
%V AICT-569
%P 73-100
%8 2019-01-28
%D 2019
%R 10.1007/978-3-030-28752-8_5
%K Mobile devices
%K privacy
%K targeted data extraction
%K iOS
%K Android
%Z Computer Science [cs]Conference papers
%X Smartphones contain large amounts of data that are of significant interest in forensic investigations. In many situations, a smartphone owner may be willing to provide a forensic investigator with access to data under a documented consent agreement. However, for privacy or personal reasons, not all the smartphone data may be extracted for analysis. Courts have also opined that only data relevant to the investigation at hand may be extracted.This chapter describes the design and implementation of a targeted data extraction system for mobile devices. It assumes user consent and implements state-of-the-art filtering using machine learning techniques. The system can be used to identify and extract selected data from smartphones in real time at crime scenes. Experiments conducted with iOS and Android devices demonstrate the utility of the targeted data extraction system.
%G English
%Z TC 11
%Z WG 11.9
%2 https://inria.hal.science/hal-02534613/document
%2 https://inria.hal.science/hal-02534613/file/488399_1_En_5_Chapter.pdf
%L hal-02534613
%U https://inria.hal.science/hal-02534613
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-DF
%~ IFIP-WG11-9
%~ IFIP-AICT-569