A Robust and Adaptive Watermarking Technique for Relational Database

Yexing Zhang; Zihou Wang; Zhaoguo Wang; Chuanyi Liu

doi:10.1007/978-981-16-9229-1_1

A Robust and Adaptive Watermarking Technique for Relational Database

Yexing Zhang
, Zihou Wang
, Zhaoguo Wang^*
, Chuanyi Liu

^*Corresponding author for this work

Beijing University of Posts and Telecommunications
National Computer Network Emergency Response Technical Team Coordination Center of China
Harbin Institute of Technology
HIT-QIANXIN Data Security Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

A watermarking technology is a kind of marker covertly embedded to identify ownership of the copyright. The existing database watermarking techniques cannot automatically adapt to different types of data and have poor robustness. In this paper, we present a new robust database watermarking scheme. The scheme can automatically adapt the watermarking algorithm and parameters according to the data characteristics for numerical and text-based data. We have theoretically established and verified experimentally the performance of our method in terms of robustness and less data distortion. This makes it suitable for copyright protection, owner identification, or traitor tracing purposes.

Original language	English
Title of host publication	Cyber Security - 18th China Annual Conference, CNCERT 2021, Revised Selected Papers
Editors	Wei Lu, Yuqing Zhang, Weiping Wen, Hanbing Yan, Chao Li
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	3-26
Number of pages	24
ISBN (Print)	9789811692284
DOIs	https://doi.org/10.1007/978-981-16-9229-1_1
State	Published - 2022
Externally published	Yes
Event	18th China Cyber Security Annual Conference, CNCERT 2021 - Beijing, China Duration: 20 Jul 2021 → 21 Jul 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1506 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	18th China Cyber Security Annual Conference, CNCERT 2021
Country/Territory	China
City	Beijing
Period	20/07/21 → 21/07/21

Keywords

Automatic adaptation
Copyright protection
Database watermarking
Relational data
Safe and reliable

Access to Document

10.1007/978-981-16-9229-1_1

Cite this

Zhang, Y., Wang, Z., Wang, Z., & Liu, C. (2022). A Robust and Adaptive Watermarking Technique for Relational Database. In W. Lu, Y. Zhang, W. Wen, H. Yan, & C. Li (Eds.), Cyber Security - 18th China Annual Conference, CNCERT 2021, Revised Selected Papers (pp. 3-26). (Communications in Computer and Information Science; Vol. 1506 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-9229-1_1

Zhang, Yexing ; Wang, Zihou ; Wang, Zhaoguo et al. / A Robust and Adaptive Watermarking Technique for Relational Database. Cyber Security - 18th China Annual Conference, CNCERT 2021, Revised Selected Papers. editor / Wei Lu ; Yuqing Zhang ; Weiping Wen ; Hanbing Yan ; Chao Li. Springer Science and Business Media Deutschland GmbH, 2022. pp. 3-26 (Communications in Computer and Information Science).

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title = "A Robust and Adaptive Watermarking Technique for Relational Database",

abstract = "A watermarking technology is a kind of marker covertly embedded to identify ownership of the copyright. The existing database watermarking techniques cannot automatically adapt to different types of data and have poor robustness. In this paper, we present a new robust database watermarking scheme. The scheme can automatically adapt the watermarking algorithm and parameters according to the data characteristics for numerical and text-based data. We have theoretically established and verified experimentally the performance of our method in terms of robustness and less data distortion. This makes it suitable for copyright protection, owner identification, or traitor tracing purposes.",

keywords = "Automatic adaptation, Copyright protection, Database watermarking, Relational data, Safe and reliable",

author = "Yexing Zhang and Zihou Wang and Zhaoguo Wang and Chuanyi Liu",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).; 18th China Cyber Security Annual Conference, CNCERT 2021 ; Conference date: 20-07-2021 Through 21-07-2021",

year = "2022",

doi = "10.1007/978-981-16-9229-1\_1",

language = "英语",

isbn = "9789811692284",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "3--26",

editor = "Wei Lu and Yuqing Zhang and Weiping Wen and Hanbing Yan and Chao Li",

booktitle = "Cyber Security - 18th China Annual Conference, CNCERT 2021, Revised Selected Papers",

address = "德国",

}

Zhang, Y, Wang, Z, Wang, Z & Liu, C 2022, A Robust and Adaptive Watermarking Technique for Relational Database. in W Lu, Y Zhang, W Wen, H Yan & C Li (eds), Cyber Security - 18th China Annual Conference, CNCERT 2021, Revised Selected Papers. Communications in Computer and Information Science, vol. 1506 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 3-26, 18th China Cyber Security Annual Conference, CNCERT 2021, Beijing, China, 20/07/21. https://doi.org/10.1007/978-981-16-9229-1_1

A Robust and Adaptive Watermarking Technique for Relational Database. / Zhang, Yexing; Wang, Zihou; Wang, Zhaoguo et al.
Cyber Security - 18th China Annual Conference, CNCERT 2021, Revised Selected Papers. ed. / Wei Lu; Yuqing Zhang; Weiping Wen; Hanbing Yan; Chao Li. Springer Science and Business Media Deutschland GmbH, 2022. p. 3-26 (Communications in Computer and Information Science; Vol. 1506 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Robust and Adaptive Watermarking Technique for Relational Database

AU - Zhang, Yexing

AU - Wang, Zihou

AU - Wang, Zhaoguo

AU - Liu, Chuanyi

PY - 2022

Y1 - 2022

N2 - A watermarking technology is a kind of marker covertly embedded to identify ownership of the copyright. The existing database watermarking techniques cannot automatically adapt to different types of data and have poor robustness. In this paper, we present a new robust database watermarking scheme. The scheme can automatically adapt the watermarking algorithm and parameters according to the data characteristics for numerical and text-based data. We have theoretically established and verified experimentally the performance of our method in terms of robustness and less data distortion. This makes it suitable for copyright protection, owner identification, or traitor tracing purposes.

AB - A watermarking technology is a kind of marker covertly embedded to identify ownership of the copyright. The existing database watermarking techniques cannot automatically adapt to different types of data and have poor robustness. In this paper, we present a new robust database watermarking scheme. The scheme can automatically adapt the watermarking algorithm and parameters according to the data characteristics for numerical and text-based data. We have theoretically established and verified experimentally the performance of our method in terms of robustness and less data distortion. This makes it suitable for copyright protection, owner identification, or traitor tracing purposes.

KW - Automatic adaptation

KW - Copyright protection

KW - Database watermarking

KW - Relational data

KW - Safe and reliable

UR - https://www.scopus.com/pages/publications/85124648183

U2 - 10.1007/978-981-16-9229-1_1

DO - 10.1007/978-981-16-9229-1_1

M3 - 会议稿件

AN - SCOPUS:85124648183

SN - 9789811692284

T3 - Communications in Computer and Information Science

SP - 3

EP - 26

BT - Cyber Security - 18th China Annual Conference, CNCERT 2021, Revised Selected Papers

A2 - Lu, Wei

A2 - Zhang, Yuqing

A2 - Wen, Weiping

A2 - Yan, Hanbing

A2 - Li, Chao

PB - Springer Science and Business Media Deutschland GmbH

T2 - 18th China Cyber Security Annual Conference, CNCERT 2021

Y2 - 20 July 2021 through 21 July 2021

ER -

Zhang Y, Wang Z, Wang Z , Liu C. A Robust and Adaptive Watermarking Technique for Relational Database. In Lu W, Zhang Y, Wen W, Yan H, Li C, editors, Cyber Security - 18th China Annual Conference, CNCERT 2021, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 3-26. (Communications in Computer and Information Science). doi: 10.1007/978-981-16-9229-1_1

A Robust and Adaptive Watermarking Technique for Relational Database

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