Abstract
Fingerprinting is a process that embeds identifiers of the buyers of data into the data. It enables buyers who copied and redistributed data illegally to be identified from the redistributed data. An essential requirement for fingerprinting is the prevention of false accusations, i.e., honest buyers not be accused even when fraud has been committed by merchants and third parties. Previous fingerprinting methods either could not meet this requirement or met it at a high cost, such as that associated with the use of independent servers for fingerprinting.
This paper proposes to embed buyers’ digital signatures into data and to identify illegal buyers by verifying signatures in the redistributed data. The security of the signature verification is discussed assuming that the redistributed data have been modified by the illegal buyers. The paper shows that the proposed method can prevent false accusations at an acceptable cost.
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© 1998 Springer-Verlag Berlin Heidelberg
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Yoshiura, H., Sasaki, R., Takaragi, K. (1998). Secure Fingerprinting Using Public-Key Cryptography. In: Christianson, B., Crispo, B., Harbison, W.S., Roe, M. (eds) Security Protocols. Security Protocols 1998. Lecture Notes in Computer Science, vol 1550. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49135-X_13
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DOI: https://doi.org/10.1007/3-540-49135-X_13
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