Visible to the public Adversarial multiple access channels and a new model of multimedia fingerprinting coding

TitleAdversarial multiple access channels and a new model of multimedia fingerprinting coding
Publication TypeConference Paper
Year of Publication2020
AuthorsKabatiansky, G., Egorova, E.
Conference Name2020 IEEE Conference on Communications and Network Security (CNS)
Date Publishedjun
KeywordsA-channel, adders, adversarial multiple access channels, arbitrary coefficients, binary adder channel, Binary codes, broadcast channels, channel coding, collusion attack, composability, compressed sensing, Conferences, digital fingerprint, digital fingerprinting code, digital fingerprinting coding problems, encoding, error statistics, Information systems, linear combinations, malicious multiple access channels, Mathematical model, Metrics, multi-access systems, Multimedia communication, multimedia computing, multimedia fingerprinting code, multiple access channel, network coding, noise-like signals, privacy, pubcrawl, Receivers, resilience, Resiliency, security, security of data, Watermarking, zero-error probability

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.

Citation Keykabatiansky_adversarial_2020