Adversarial multiple access channels and a new model of multimedia fingerprinting coding
| Autor: | Elena Egorova, Grigory Kabatiansky |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Adder
Multimedia Computer science 020206 networking & telecommunications 0102 computer and information sciences 02 engineering and technology Digital fingerprint computer.software_genre 01 natural sciences Adversarial system Compressed sensing 010201 computation theory & mathematics Computer Science::Multimedia 0202 electrical engineering electronic engineering information engineering Linear combination computer Computer Science::Cryptography and Security Communication channel Coding (social sciences) |
| Zdroj: | CNS |
| DOI: | 10.1109/cns48642.2020.9162248 |
| Popis: | We consider different models of malicious multiple access channels, especially for binary adder channel and for A-channel, and show how they can be used for the reformulation of digital fingerprinting coding problems. In particular, we propose a new model of multimedia fingerprinting coding. In the new model, not only zeroes and plus/minus ones but arbitrary coefficients of linear combinations of noise-like signals for forming watermarks (digital fingerprints) can be used. This modification allows dramatically increase the possible number of users with the property that if t or less malicious users create a forge digital fingerprint then a dealer of the system can find all of them with zero-error probability. We show how arisen problems are related to the compressed sensing problem. |
| Databáze: | OpenAIRE |
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