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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 Li
Privacy-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

109

Series

Research Institute of Electrical Communication Conference

Pagination

330 - 339

Publisher

Springer

Location

Sendai, Japan

Place of publication

Cham, Switzerland

Start date

2018-11-26

End date

2018-11-28

ISSN

2190-3018

eISSN

2190-3026

ISBN-13

9783030037444

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2019, Springer Nature Switzerland AG

Editor/Contributor(s)

J Pan, A Ito, P Tsai, L Jain

Title of proceedings

IIH-MSP 2018 : Proceedings of the 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing

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