T-Tracer: A Blockchain-Aided Symbol Mapping Watermarking Scheme for Traitor Tracing in Non-Repudiation Data Delivery


연구 분야: Infrastructure



학회: BSCI '22: Proceedings of the Fourth ACM International Symposium on Blockchain and Secure Critical Infrastructure


초록

In a data sharing network where parties lack mutual trust, credible traitor tracing is indispensable to reliable data delivery. Currently, the main obstacles for traitor tracing are the deficiency of content-independent data watermarking scheme and the untrustworthiness of third parties. In view of this, we propose the T-Tracer --- an encoding-based watermarking scheme. With T-Tracer, each party of data delivery embeds its digital fingerprint into the byte sequence of the shared data by generating a tailor-made symbol mapping table, whereby the watermarking can handle any type of data. A blockchain network overlaying all data sharing participants serves as a trusted third party to ensure the credibility of T-Tracer. By applying T-Tracer, anyone in the network can recognize the culprits by identifying their fingerprints from the data objects that appear as evidence of data delivery repudiation. The evaluation results show that T-Tracer is effective and practical in improving the credibility of traitor tracing.


Author Profile
Liang Wang

Hebei University Baoding China

China
Author Profile
Jun Li

Xiong'An Intelligent City Innovation Federation Xiong'An China

China
Author Profile
Lina Zuo

Hebei University Baoding China

China

📄 논문 정보

발행 연도 2022년
인용수 1
출판 국가 China
사이트 ACM
좋아요 수 0

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