Author URLs
Professor Baggili's Faculty Profile
UNHcFREG (UNH Cyber Forensics Research & Education Group / Lab)
Document Type
Conference Proceeding
Publication Date
8-6-2018
Subject: LCSH
Computer crimes--Investigation, Virtual reality
Disciplines
Computer Engineering | Computer Sciences | Electrical and Computer Engineering | Forensic Science and Technology | Information Security
Abstract
Our work presents the primary account for exploring the forensics of immersive Virtual Reality (VR) systems and their social applications. The Social VR applications studied in this work include Bigscreen, Altspace VR, Rec Room and Facebook Spaces. We explored the two most widely adopted consumer VR systems: the HTC Vive and the Oculus Rift. Our tests examined the efficacy of reconstructing evidence from network traffic as well as the systems themselves. The results showed that a significant amount of forensically relevant data such as user names, user profile pictures, events, and system details may be recovered. We anticipate that this work will stimulate future research directions in VR and Augmented Reality (AR) forensics as it is an area that is understudied and needs more attention from the community.
DOI
10.1109/SPW.2018.00034
Repository Citation
Yarramreddy, Ananya; Gromkowski, Peter; and Baggili, Ibrahim, "Forensic Analysis of Immersive Virtual Reality Social Applications: A Primary Account" (2018). Electrical & Computer Engineering and Computer Science Faculty Publications. 80.
https://digitalcommons.newhaven.edu/electricalcomputerengineering-facpubs/80
Publisher Citation
A. Yarramreddy, P. Gromkowski and I. Baggili, "Forensic Analysis of Immersive Virtual Reality Social Applications: A Primary Account," 2018 IEEE Security and Privacy Workshops (SPW), San Francisco, California, USA, 2018, pp. 186-196. doi:10.1109/SPW.2018.00034
Included in
Computer Engineering Commons, Electrical and Computer Engineering Commons, Forensic Science and Technology Commons, Information Security Commons
Comments
© © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
This is the authors' accepted version of the paper that appeared in the proceedings of 2018 IEEE Security and Privacy Workshops (SPW). The version of record may be found at http://dx.doi.org/10.1109/SPW.2018.00034 .
Dr. Baggili was appointed to the University of New Haven’s Elder Family Endowed Chair in 2015.
This material is based upon work supported by the National Science Foundation under Grant No. 1748950.