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CS919 Multimedia Forensics (not running 2018/19)

Academic Aims

The aim is for the students to become familiar with multimedia-based digital forensics that is useful in identifying source devices of digital content, content integrity verification, copyright protection, steganography, steganalysis, and content authentication. It is intended for the students to acquire the state-of-the-art multimedia-based digital forensic techniques that are in acute demand in law enforcement, cyber-security and national security.

Learning Outcomes

By the end of the module the student should be able to:

  • Understand various modalities of device fingerprints and ways for extracting and enhancing device fingerprints from digital content
  • Understand forensic applications of device fingerprints in source device identification, content/device linking, source-oriented image clustering and content integrity verification
  • Understand data hiding techniques and their applications in copyright protection and content authentication
  • Understand data hiding techniques and their applications in steganography and steganalysis
  • Understand theoretical and practical challenges, including counter-forensics and counter-counter-forensics


  • • Various modalities of device fingerprints
    • Extraction and representation of device fingerprints
    • Enhancement of device fingerprints
    • Source device identification based on device fingerprints
    • Content/device linking based on device fingerprints
    • Content integrity verification based on device fingerprints
    • Source-oriented image/video clustering based on device fingerprints
    • Digital content hashing
    • Data hiding
    • Digital watermarking for copyright protection
    • Digital watermarking for content authentication
    • Steganography
    • Steganalysis
    • Counter-forensics and counter-counter-forensics

15 CATS (7.5 ECTS)
Term 2



Online material