A targeted data extraction system for mobile devices

Sudhir Aggarwal, Gokila Dorai, Umit Karabiyik, Tathagata Mukherjee, Nicholas Guerra, Manuel Hernandez, James Parsons, Khushboo Rathi, Hongmei Chi, Temilola Aderibigbe, Rodney Wilson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationAdvances in Digital Forensics- 15th IFIP WG 11.9 International Conference, 2019, Revised Selected Papers
EditorsGilbert Peterson, Sujeet Shenoi
PublisherSpringer New York LLC
Pages73-100
Number of pages28
ISBN (Print)9783030287511
DOIs
StatePublished - Jan 1 2019
Event15th IFIP WG 11.9 International Conference on Digital Forensics, DigitalForensics 2019 - Orlando, United States
Duration: Jan 28 2019Jan 29 2019

Publication series

NameIFIP Advances in Information and Communication Technology
Volume569
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference15th IFIP WG 11.9 International Conference on Digital Forensics, DigitalForensics 2019
CountryUnited States
CityOrlando
Period1/28/191/29/19

Keywords

  • Android
  • Mobile devices
  • iOS
  • privacy
  • targeted data extraction

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

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  • Cite this

    Aggarwal, S., Dorai, G., Karabiyik, U., Mukherjee, T., Guerra, N., Hernandez, M., Parsons, J., Rathi, K., Chi, H., Aderibigbe, T., & Wilson, R. (2019). A targeted data extraction system for mobile devices. In G. Peterson, & S. Shenoi (Eds.), Advances in Digital Forensics- 15th IFIP WG 11.9 International Conference, 2019, Revised Selected Papers (pp. 73-100). (IFIP Advances in Information and Communication Technology; Vol. 569). Springer New York LLC. https://doi.org/10.1007/978-3-030-28752-8_5