The course covers methods for computational analysis of digital data and physical evidence.  An emphasis is on the use of statistical, pattern recognition, and machine learning techniques.  We will be examining how personal information and identity can be leaked and what techniques there are for protecting personal information.

Lecture Topics

1. Introduction
2. Face Recognition
3. Face Recognition (2)
4. Biometrics, Risk, Lost, Training and Testing
5. Fingerprint Recognition
6. Behavioral Biometrics (Speaker and Writer Recognition)
   
7. CAPTCHAs
8. Image Steganography and Watermarking
9. Detecting Camera Models, Instances, and Image Manipulation
10. Stylometry
11. Computer Forensics
12. Privacy on the Web
    

News Items

Here are some interesting links and recent news items related to the course.  You can find more on del.icio.us.




Possible in a future course:

• Imaging for Transportation: Surveillance, X-Ray Inspection
• License Plate Reading and Applications
  
• Voice, Image, Video Mining and Surveillance
  
• Real Time Filtering: Spam, Censorship, Copyright Enforcement
  
• Text Mining and Intelligence Analysis
• Data Mining, "Rasterfahndung", "Lauschangriff"
  
• Social Network Analysis
• Phishing and User Interfaces
• Behavioral Network Security and Intrusion Detection
  
• Information Leaking, TEMPEST, Packet Timing
• Forensic Practice, Hard Disk Forensics
• Optical Document Security