Skip to content

Android™ App Forensic Evidence Database

Conference/Workshop:
American Academy of Forensic Sciences Annual Scientific Meeting
Published: 2019
Primary Author: Chao-Chun C. Cheng
Secondary Authors: Chen Shi, Brody Concannon, Zhenqiang Gong, Yong Guan
Research Area: Digital

After attending this presentation, attendees will understand how to use this new Android™ Center for Statistics and Applications
in Forensic Evidence-App Evidence Database (CSAFE-AED) in their casework investigation. This presentation will introduce the basics, challenges,
and limitations of the current mobile device forensics, and demonstrate how to take advantage of the CSAFE-AED database and search/recover the
possible evidence from the possible locations on and outside the mobile devices being investigated.

Related Resources

Forensic Analysis of Android Cloud SDKs

Forensic Analysis of Android Cloud SDKs

This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
The Impact of Multi-Camera Smart Phones on Source Camera Identification

The Impact of Multi-Camera Smart Phones on Source Camera Identification

An investigator has a questioned image from an unknown source and wants to determine whether it came from a camera on a person of interest’s smartphone. This scenario is referred…
Likelihood ratios for changepoints in categorical event data with applications in digital forensics

Likelihood ratios for changepoints in categorical event data with applications in digital forensics

We investigate likelihood ratio models motivated by digital forensics problems involving time-stamped user-generated event data from a device or account. Of specific interest are scenarios where the data may have…
Producing Datasets: Capturing Images on Multi-Camera Smartphones for Source Camera Identification

Producing Datasets: Capturing Images on Multi-Camera Smartphones for Source Camera Identification

This poster introduces the new CSAFE Multi-camera Smartphone Image Database and describes how the image were collected and reviewed.