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2024 | OriginalPaper | Buchkapitel

FRBBM-Scheme: A Flexible Ratio Virtual Primary Key Generation Approach Based on Binary Matching

verfasst von : Tiancai Liang, Yun Zhao, Haolin Wang, Ziwen Cai, Zhaoguo Wang, Wenchao Wang, Chuanyi Liu

Erschienen in: Intelligent Information Processing XII

Verlag: Springer Nature Switzerland

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Abstract

The protection of database watermarking techniques based on primary key (PK) is weakened by potential PK attacks and their huge impact. Using virtual primary key (VPK) schemes is an effective solution to enhance the robustness of these techniques. Pérez Gort et al. proposed the HQR-Scheme, which first considers balancing the participation rate of each attribute to improve the ability of scheme to cope with deletion attacks. However, the HQR-Scheme has limited control ability and cannot adapt to changes in relevant information in databases. Facing these challenges, we innovatively propose the FRBBM-Scheme, which allows users to fully analyze data table information and formulate flexible ratio adjustment strategies to enhance their ability to cope with deletion attacks. We verify our proposed scheme through multiple experiments, which show that it has excellent ratio control ability, can generate high-quality VPK sets, and can resist different levels of attribute deletion attacks.

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Metadaten
Titel
FRBBM-Scheme: A Flexible Ratio Virtual Primary Key Generation Approach Based on Binary Matching
verfasst von
Tiancai Liang
Yun Zhao
Haolin Wang
Ziwen Cai
Zhaoguo Wang
Wenchao Wang
Chuanyi Liu
Copyright-Jahr
2024
Buch
Intelligent Information Processing XII

Print ISBN: 978-3-031-57807-6

Electronic ISBN: 978-3-031-57808-3

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-57808-3_32

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