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Privacy-preserving reversible watermarking for data exfiltration prevention through lexicographic permutations
conference contribution
posted on 2019-01-01, 00:00 authored by C C Chang, Chang-Tsun LiChang-Tsun LiPrivacy-preserving reversible watermarking, as a subfield of secure signal processing, has received a growing research attention in the recent years due to privacy concerns in cloud computing. In this paper, we propose a novel reversible watermarking scheme for data exfiltration prevention. This scheme enables the cloud to embed labels that indicate the degree of confidentiality into the encrypted documents in such a way that the network administrator can monitor the document exfiltration through detecting the labels in the encrypted domain without compromising data privacy. An efficient watermarking algorithm is devised primarily based upon the concept of lexicographic permutations. In addition to this, a content-adaptive signal estimation mechanism is constructed for assisting host media recovery. Experimental results show that the proposed scheme outperforms the state-of-the-art with regards to watermarking capacity, fidelity, and recoverability.
History
Event
Research Institute of Electrical Communication. Conference (14th : 2018 : Sendai, Japan)Volume
109Series
Research Institute of Electrical Communication ConferencePagination
330 - 339Publisher
SpringerLocation
Sendai, JapanPlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2018-11-26End date
2018-11-28ISSN
2190-3018eISSN
2190-3026ISBN-13
9783030037444Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2019, Springer Nature Switzerland AGEditor/Contributor(s)
J Pan, A Ito, P Tsai, L JainTitle of proceedings
IIH-MSP 2018 : Proceedings of the 14th International Conference on Intelligent Information Hiding and Multimedia Signal ProcessingUsage metrics
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