Professor Arun Ross, Associate Professor MSU Computer Science and Engineering, presents his latest research and collaboration opportunities at the Cybersecurity Interdisciplinary Forum on February 5, 2016

1. Cyber-Privacy: Securing
Biometric Data
Arun Ross
Associate Professor
Michigan State University
rossarun@cse.msu.edu
http://www.cse.msu.edu/~rossarun/
rossarun@cse.msu.edu

2.  A large number of social, financial, business
transactions are being conducted over the Internet
 But Cyberspace is not just about data – it is also
about individuals connected to the data
CyberSpace
Page: 2

3. Page: 3

4.  Faces of Facebook: Privacy in the Age of Augmented Reality
(Alessandro Acquisti et al)
 Convergence of three technologies:
 face recognition, cloud computing, online social networks
 They investigated whether combination of publicly available
Web 2.0 data and off-the-shelf face recognition software may
allow large-scale, automated, end-user individual re-
identification
 Started from an anonymous face in the street, and ended up
with very sensitive information about that person, in a process
of data "accretion”
 Combined face recognition with the algorithms they developed
in 2009 to predict SSNs from public data
Identifying People on the Web
Page: 4

5. Visual Cryptography:
De-identifying Data
Actual Face
DATABASE 1
DATABASE 2
Ross and Othman, “Visual Cryptography for Biometrics Privacy”, TIFS 2011
Page: 5

6.  Preserving the privacy of a user’s stored biometric
data
 Prevent cross-linking across applications
 Prevent gleaning additional information from
biometric data (e.g., medical ailment)
Privacy Enhancing Technology
Page: 6
Need to
• Define Privacy Metrics
• Guarantee Privacy
• Develop Differential Privacy Schemes
CYBERSECURITY CV for MSU: http://goo.gl/forms/QcRqagFM9F