Privacy-Preserving reversible watermarking for data exfiltration prevention through lexicographic permutations

Ching Chun Chang, Chang Tsun Li

Research output: Book chapter/Published conference paperConference paper

Abstract

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.

Original languageEnglish
Title of host publicationRecent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
EditorsPei-Wei Tsai, Akinori Ito, Lakhmi C. Jain, Lakhmi C. Jain, Jeng-Shyang Pan, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages330-339
Number of pages10
ISBN (Print)9783030037444
DOIs
Publication statusPublished - 01 Jan 2019
Event14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 - Sendai, Japan
Duration: 26 Nov 201828 Nov 2018

Publication series

NameSmart Innovation, Systems and Technologies
Volume109
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018
CountryJapan
CitySendai
Period26/11/1828/11/18

Fingerprint

Watermarking
Labels
Data privacy
Cloud computing
Signal processing
Recovery
Privacy preserving

Cite this

Chang, C. C., & Li, C. T. (2019). Privacy-Preserving reversible watermarking for data exfiltration prevention through lexicographic permutations. In P-W. Tsai, A. Ito, L. C. Jain, L. C. Jain, J-S. Pan, & L. C. Jain (Eds.), Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (pp. 330-339). (Smart Innovation, Systems and Technologies; Vol. 109). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-03745-1_41
Chang, Ching Chun ; Li, Chang Tsun. / Privacy-Preserving reversible watermarking for data exfiltration prevention through lexicographic permutations. Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. editor / Pei-Wei Tsai ; Akinori Ito ; Lakhmi C. Jain ; Lakhmi C. Jain ; Jeng-Shyang Pan ; Lakhmi C. Jain. Springer Science and Business Media Deutschland GmbH, 2019. pp. 330-339 (Smart Innovation, Systems and Technologies).
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abstract = "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.",
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Chang, CC & Li, CT 2019, Privacy-Preserving reversible watermarking for data exfiltration prevention through lexicographic permutations. in P-W Tsai, A Ito, LC Jain, LC Jain, J-S Pan & LC Jain (eds), Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol. 109, Springer Science and Business Media Deutschland GmbH, pp. 330-339, 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018, Sendai, Japan, 26/11/18. https://doi.org/10.1007/978-3-030-03745-1_41

Privacy-Preserving reversible watermarking for data exfiltration prevention through lexicographic permutations. / Chang, Ching Chun; Li, Chang Tsun.

Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. ed. / Pei-Wei Tsai; Akinori Ito; Lakhmi C. Jain; Lakhmi C. Jain; Jeng-Shyang Pan; Lakhmi C. Jain. Springer Science and Business Media Deutschland GmbH, 2019. p. 330-339 (Smart Innovation, Systems and Technologies; Vol. 109).

Research output: Book chapter/Published conference paperConference paper

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AU - Chang, Ching Chun

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N2 - 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.

AB - 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.

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Chang CC, Li CT. Privacy-Preserving reversible watermarking for data exfiltration prevention through lexicographic permutations. In Tsai P-W, Ito A, Jain LC, Jain LC, Pan J-S, Jain LC, editors, Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. Springer Science and Business Media Deutschland GmbH. 2019. p. 330-339. (Smart Innovation, Systems and Technologies). https://doi.org/10.1007/978-3-030-03745-1_41