2008 Poster Sessions : Audio Authentication based on Distributed Source Coding

Student Name : David Varodayan
Advisor : Bernd Girod
Research Areas: Information Systems
Abstract
Audio authentication is important in content delivery via untrusted intermediaries, for example peer-to-peer (P2P) file sharing. Many differently encoded versions of the original audio might exist.

Distinguishing the legitimate diversity of encodings from malicious tampering is the challenge addressed in this paper. We develop an approach based on distributed source coding for the problem of backward-compatible audio authentication. The key idea is to provide a Slepian-Wolf encoded quantized perceptually significant audio projection as authentication data. This version can be correctly decoded only with the help of authentic audio as side information.

Distributed source coding provides the desired robustness against legitimate encoding variations, while detecting illegitimate modification. We demonstrate reliable authentication at a Slepian-Wolf bitrate of less than 100 bit/s.

Bio
David Varodayan is a doctoral student, advised by Professor Bernd Girod, in the Department of Electrical Engineering at Stanford University. He is affiliated with both the Information Systems Laboratory and the Max Planck Center for Visual Computing and Communication. His research interests are in the areas of video compression and media security, with a focus on applying distributed compression and machine learning algorithms. He has twice won Best Student Paper Award: as first author at the IEEE Workshop on Multimedia Signal Processing (MMSP) in 2006, and as co-author at the European Signal Processing Conference (EUSIPCO) in 2007. David holds a B.A.Sc. in Engineering Science from the University of Toronto, and an M.S. in Electrical Engineering from Stanford University.