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基于混合智能算法的低扭曲可逆数据库水印
Chuanda Cai1, Changgen Peng1,2, Jin Niu1
1State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China.
Mathematical biosciences and engineering : MBE
|December 21, 2023
概括
这项研究引入了一种强大且可逆的数据库水印技术. 它平衡了数据保护与数据恢复,提高了共享关系数据库的安全性.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 数据管理数据管理
背景情况:
- 数据库对于信息共享至关重要,但容易受到盗窃和滥用,导致版权和隐私问题.
- 可逆水印可以保护关系数据库,验证所有权并允许数据恢复.
- 现有的方法往往会损害数据完整性或对攻击提供不足的保护.
研究的目的:
- 提出一个强大的和可逆的数据库水印技术.
- 为了在数据保护和数据恢复之间实现更好的平衡.
- 增强共享关系数据库的安全性.
主要方法:
- 使用哈希函数对数字关系数据库进行分组.
- 实施带重函数来控制数据扭曲和水印能力.
- 采用火虫算法 (FA) 和模拟回火算法 (SA) 进行高效的水印嵌入.
- 使用差分扩展嵌入水印.
主要成果:
- 提出的方法有效地保持了数据质量.
- 对恶意攻击表现出良好的强度.
- 在数据保护和恢复能力之间取得了平衡.
结论:
- 开发的水印技术为保护关系数据库提供了可行的解决方案.
- 它提供了对攻击的强大保护,同时保持了数据完整性.
- 这种方法提高了共享数据系统的安全性和可靠性.
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