Skip to main content

Home

 

Find us on

facebook youtube flickr twitter itunes u logo

Upcoming Events

Sal Stolfo

Salvatore J. Stolfo Columbia University
A Brief History of Symbiote DefenseTuesday, October 31st
Rockefeller 003
5:00 PM

 Fright Night Imge

Wanna See Something REALLY Scary?
ISTS Looks at the Dark Web on Halloween Night
Tuesday, October 31st
Sudikoff  045 Trust Lab (dungeon)
7:30 PM - RSVP
Space is Limited 

   

Recent Talks

Dan Wallach

STAR-Vote: A Secure, Transparent, Auditable and Reliable Voting System

Professor Dan Wallach
Rice University
Thursday April 27, 2017
Carson L01, 5:00 PM

Ben Miller Dragos

Pandora's Power Grid - What Can State Attacks Do and What Would be the Impact?

Ben Miller
Chief Threat Officer, Dragos, Inc.
Tuesday May 2, 2017
Kemeny 007, 4:30 PM
Brendan Nyhan

 

 

 

Factual Echo Chambers? Fact-checking and Fake News in Election 2016.

Professor Brendan Nyhan
Dartmouth College
Thursday May 4, 2017
Rocky 001, 5:00 PM

Dickie George

 

Espionage and Intelligence

Professor Dickie George
Johns Hopkins University
Thursday May 11, 2017
Rocky 001, 5:00 PM

Dan Wallach

A Nation Under Attack: Advanced Cyber-Attacks in Ukraine

Ukrainian Cybersecurity Researchers
Thursday April 6, 2017
Oopik Auditorium 5:30 PM

ISTS Information Pamphlet


2012BrochureCover

 

Institute for Security, Technology, and Society
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755 USA
info.ists@dartmouth.edu

Detection of Digital Tampering

Project Summary

The rapid increase in low-cost and sophisticated digital technology has made it remarkably easy to manipulate digital audio, image, and video. Coupled with vague legal definition as to the admissibility of digital media into evidence, it is essential that we develop techniques for authenticating digital material. We propose to: 1. Develop novel statistical models that embody the characteristics of "natural" signals/images. 2. Use these models in the development of techniques for determining the authenticity of digital signals/images.

Steganography: we have finished the porting of the steganography detection code from MatLab to C++, have fully tested this code and are working with United Devices to run this code on a massively distributed system. The goal is to find web pages that have suspicious activity.

Computer Graphics or Natural: we completed work on a new technique to distinguish between computer graphics and natural photographs. This work may be helpful in combating purportedly computer-generated child pornography.

Digital Tampering: we have completed development of three novel techniques for detecting various forms of digital tampering.

Voice Authentication: we have preliminary results that show that some of our image-based work extends nicely to audio. Specifically, we have developed techniques for distinguishing between natural and computer generated voices, and are working on extending this work to authenticate speakers from unscripted text.

Last Updated: 9/9/15