This course will present an overview of recent work of media forensics with focus on sensometrics for sensor identification and signal processing for tamper detection. Particularly, we define sensometrics as the application of methods for the analysis and determination of a particular sensor (capturing or sampling device for digital media), whereby the actual application and context in which the original sampling has been performed can vary. For example, for identifying digital cameras, any photographic image can be taken into account, whereas for identifying pen digitizer, sensors for capturing handwriting samples such as signatures can be analyzed. The general fundamentals will be introduced and specific approaches for selected media examples of image, audio and digital handwritten documents will be discussed to show the recent advances and still open problems.

This course will present an introduction and overview on computer forensics, as well as new developments in multimedia forensics. First, the standard methods and tools of computer forensics are discussed in detail. These include: incidence response, data collection, forensic duplication, evidence handling, data analysis techniques, forensic tools, analyzing Windows systems, reporting and presentation of results, and legal issues. Then, the new and emerging topic of multimedia forensics is introduced with treatment of its subareas: forensics for images, audio, video, CD and DVD, cameras, scanners and printers, cell phones, and pen digitizers. Here, the focus is on signal and image processing and sensometrics for sensor identification and tamper detection. For example, for identifying digital cameras, any photographic image can be subjected to analysis. General fundamentals will be introduced and specific approaches for selected media examples of image, audio, video, CD, DVD, cell phone data and digital handwritten documents will be discussed to show the recent advances and still open problems.