Data masking: A new approach for steganography?

Regunathan Radhakrishnan, Mehdi Kharrazi, Nasir Memon

Research output: Contribution to journalArticlepeer-review


It is well known that encryption provides secure channels for communicating entities. However, due to lack of covertness on these channels, an eavesdropper can identify encrypted streams through statistical tests and capture them for further cryptanalysis. Hence, the communicating entities can use steganography to achieve covertness. In this paper we propose a new form of multimedia steganography called data masking. Instead of embedding a secret message into a multimedia object, as in traditional multimedia steganography, we process the entire secret message to make it appear statistically similar to a multimedia object itself. Thereby we foil an eavesdropper who is primarily applying statistical tests to detect encrypted communication channels. We show that our approach can potentially give a covert channel capacity which is an order of magnitude higher than traditional steganography. Our experiments also show that steganalyzers trained with stego objects of known steganographic have a low detection accuracy for datamasked multimedia objects.

Original languageEnglish (US)
Pages (from-to)293-303
Number of pages11
JournalJournal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
Issue number3 SPEC. ISS.
StatePublished - Nov 2005

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Electrical and Electronic Engineering


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