| Title | FBIPT: A New Robust Reversible Database Watermarking Technique Based on Position Tuples |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Wang, Wenchao, Liu, Chuanyi, Wang, Zhaoguo, Liang, Tiancai |
| Conference Name | 2022 4th International Conference on Data Intelligence and Security (ICDIS) |
| Keywords | composability, data recovery, database, Fields, finance, Human Behavior, Limiting, Metrics, Ownership protection, Position tuples, pubcrawl, relational database security, relational databases, resilience, Resiliency, reversible watermarking, Robustness, Solids, Transportation, Watermarking |
| Abstract | Nowadays, data is essential in several fields, such as science, finance, medicine, and transportation, which means its value continues to rise. Relational databases are vulnerable to copyright threats when transmitted and shared as a carrier of data. The watermarking technique is seen as a partial solution to the problem of securing copyright ownership. However, most of them are currently restricted to numerical attributes in relational databases, limiting their versatility. Furthermore, they modify the source data to a large extent, failing to keep the characteristics of the original database, and they are susceptible to solid malicious attacks. This paper proposes a new robust reversible watermarking technique, Fields Based Inserting Position Tuples algorithm (FBIPT), for relational databases. FBIPT does not modify the original database directly; instead, it inserts some position tuples based on three Fields--Group Field, Feature Field, and Control Field. Field information can be calculated by numeric attributes and any attribute that can be transformed into binary bits. FBIPT technique retains all the characteristics of the source database, and experimental results prove the effectiveness of FBIPT and show its highly robust performance compared to state-of-the-art watermarking schemes. |
| DOI | 10.1109/ICDIS55630.2022.00018 |
| Citation Key | wang_fbipt_2022 |
FBIPT: A New Robust Reversible Database Watermarking Technique Based on Position Tuples