Abstract
The value of massive data, e.g., customer service logs, is growing. Customer service log records are used to analyze market trends and diagnose service outage or performance degradation. Doing so, the data owner shares the log records with trusted third parties. The party, however, may violate the contract and illegally share with other non-trusted parties. To address this misbehavior, we propose a mask-based watermarking on the customer telecommunication log records. The watermark is added to the original data and later used to discover which party the owner shares the data. We analyze the utility of the watermarked data after applying our algorithm and also demonstrate that our algorithms are resilient against various attacks via risk analysis.
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© 2012 Springer Science+Business Media Dordrecht
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Choi, H., Reuther, P. (2012). Fingerprinting Data Based on Secret Mask. In: Park, J., Kim, J., Zou, D., Lee, Y. (eds) Information Technology Convergence, Secure and Trust Computing, and Data Management. Lecture Notes in Electrical Engineering, vol 180. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5083-8_20
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DOI: https://doi.org/10.1007/978-94-007-5083-8_20
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5082-1
Online ISBN: 978-94-007-5083-8
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