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Theia: a tool for the forensic analysis of mobile devices pictures

Orozco, Ana Lucila Sandoval, Corripio, Jocelin Rosales, González, David Manuel Arenas, Villalba, Luis Javier García, Hernandez-Castro, Julio C. (2016) Theia: a tool for the forensic analysis of mobile devices pictures. Computing, 98 (12). pp. 1251-1286. ISSN 0010-485X. E-ISSN 1436-5057. (doi:10.1007/s00607-015-0482-5) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1007/s00607-015-0482-5

Abstract

Currently the number of cameras embedded in mobile devices is growing at an unprecedented rate. Additionally, the quality and performance of these mobile cameras is steadily improving, and is closing in on that of classical digital cameras. This scenario makes the forensic analysis of images taken with mobile cameras increasingly important and necessary. Among the various branches of forensic analysis, this paper focuses on the reliable acquisition of the make and model of the mobile camera that produced a given image. For this we have developed a technique based on exchangeable image file format (Exif) metadata analysis, allowing us in certain cases to obtain both the make and model with which the photo was taken. This comes with considerable analysis of whether this metadata information could be trusted, and with additional tools that can help in discovering image manipulation. These and other capabilities have been integrated into a new tool we have developed called Theia, that also offers many other advantages to the forensic analyst that has to mass process and analyze thousands of images in the fastest and most forensically sound way. To that end, we have also incorporated various complex functions that greatly help the forensic analyst, such as different types of advanced queries on Exif metadata information of large sets of images, and advanced geopositioning capabilities.

Item Type: Article
DOI/Identification number: 10.1007/s00607-015-0482-5
Uncontrolled keywords: Mobile phone camera, Exif, Forensics analysis, Source identification
Subjects: H Social Sciences > HV Social pathology. Social and public welfare
T Technology
Divisions: Faculties > Sciences > School of Computing
Depositing User: Julio Hernandez-Castro
Date Deposited: 08 Jun 2017 12:46 UTC
Last Modified: 29 May 2019 19:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/61997 (The current URI for this page, for reference purposes)
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