Digital Forensic Techniques for Graphic Data
Hongmei Gou · University Libraries (University of Maryland) · 2007
With rapid development of hardware devices and software programs, a large amount of graphic data has been brought to or generated in digital domain, and become increasingly more widely used in our everyday life. Due to the ease of editing and distributing graphic data in the digital domain, protecting graphic data from such fraudulent operations as malicious tampering and unauthorized copying is becoming a major concern. The primary motivation of this dissertation research is to develop novel forensic techniques for digital graphic data to facilitate its proper distribution, authentication, and usage. We investigate two complementary mechanisms for performing forensic analysis on graphic data, namely, the extrinsic and intrinsic approaches. In the extrinsic approaches, we seamlessly embed into graphic data extrinsic watermarks/fingerprints, which shall later be extracted for verifying authenticityor tracing leak of the graphic data. By utilizing such extrinsic techniques via data embedding, we have studied robust digital fingerprinting for curve-based graphics such as topographic maps and drawings, in which a unique ID referred to as a digital fingerprint is robustly embedded for tracing traitors. Through proper transformations