TY - GEN
T1 - A New Robust and Reversible Watermarking Technique Based on Erasure Code
AU - Chai, Heyan
AU - Yang, Shuqiang
AU - Jiang, Zoe L.
AU - Wang, Xuan
AU - Chen, Yiqun
AU - Luo, Hengyu
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - With the growth of Information and Communication Technology, data sharing plays a pivotal role in all parts of the Internet. A major issue that needs to be tackled urgently is to protect the ownership of data during the sharing process. Digital watermarking technology is a major solution to ownership protection. Many reversible watermarking approaches are proposed to achieve the function of ownership protection, but most methods can only resist malicious attacks to a certain extent and can not regenerate the complete watermarks in case part of watermarks are destroyed. In this paper, a robust and reversible watermarking technique (RRWEC) applied in relational database has been proposed, which utilizes the Erasure Codes Technique and watermarking in groups. The watermarks embedded into data come from meaningful characters of identification information of a database owner. The grouping method based on clustering, without dependent primary keys, is utilized to group the data, which can resist attacks on the data structure. The erasure code technique is devised to regenerate the complete watermarking information when some sub-watermarks embedded into data are maliciously modified or removed. The results of experiments verify the effectiveness and robustness of RRWEC against malicious attacks, such as data structure attack, subset addition attack, subset alteration and deletion attack, and show that when half of the watermarks are destroyed, the watermark regeneration algorithm can still recover the complete watermarking information.
AB - With the growth of Information and Communication Technology, data sharing plays a pivotal role in all parts of the Internet. A major issue that needs to be tackled urgently is to protect the ownership of data during the sharing process. Digital watermarking technology is a major solution to ownership protection. Many reversible watermarking approaches are proposed to achieve the function of ownership protection, but most methods can only resist malicious attacks to a certain extent and can not regenerate the complete watermarks in case part of watermarks are destroyed. In this paper, a robust and reversible watermarking technique (RRWEC) applied in relational database has been proposed, which utilizes the Erasure Codes Technique and watermarking in groups. The watermarks embedded into data come from meaningful characters of identification information of a database owner. The grouping method based on clustering, without dependent primary keys, is utilized to group the data, which can resist attacks on the data structure. The erasure code technique is devised to regenerate the complete watermarking information when some sub-watermarks embedded into data are maliciously modified or removed. The results of experiments verify the effectiveness and robustness of RRWEC against malicious attacks, such as data structure attack, subset addition attack, subset alteration and deletion attack, and show that when half of the watermarks are destroyed, the watermark regeneration algorithm can still recover the complete watermarking information.
KW - Erasure code
KW - Ownership protection
KW - Reversible watermarking
KW - Robustness
KW - Watermark regeneration
UR - https://www.scopus.com/pages/publications/85082135408
U2 - 10.1007/978-3-030-38991-8_11
DO - 10.1007/978-3-030-38991-8_11
M3 - 会议稿件
AN - SCOPUS:85082135408
SN - 9783030389901
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 153
EP - 168
BT - Algorithms and Architectures for Parallel Processing - 19th International Conference, ICA3PP 2019, Proceedings
A2 - Wen, Sheng
A2 - Zomaya, Albert
A2 - Yang, Laurence T.
PB - Springer
T2 - 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019
Y2 - 9 December 2019 through 11 December 2019
ER -