Photo Forensics: There is More to a Picture Than Meets the Eye
When presented with a device full of active or deleted data – what do you know about the images? Can you recover them all? Can you tell which camera they are taken with? Can you tell if they are manipulated? Can you find from the Internet all other pictures taken from the same camera? Forensics professionals all over the world are increasingly encountering such questions.
Given the ease by which digital images can be created, altered, and manipulated with no obvious traces, digital image forensics has emerged as a research field with important implications for ensuring digital image credibility. This presentation provides an overview of recent developments in the field, focusing on three problems.
First, collecting image evidence and reconstructing them from fragments, with or without missing pieces. This involves sophisticated file carving technology.
Second, attributing the image to a source, be it a camera, a scanner, or a graphically generated picture. The process entails associating the image with a class of sources with common characteristics (device model) or matching the image to an individual source device, for example a specific camera.
Third, attesting to the integrity of image data. This involves image forgery detection to determine whether an image has undergone modification or processing after being initially captured.
So please join us on Wednesday, November 17th, 7:00pm at John Jay College.
John Jay College - Forensic Computing Program and the Center for Cybercrime Studies
899 Tenth Avenue - btwn 58th & 59th
Room 610T - 6th Floor
Don't forget to RSVP!!!
Thanks to Douglas Brush, Joe Garcia, Prof Bilal Khan and Prof Douglas Salane for making this possible.
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