Page 248 - 《软件学报》2021年第11期

3574 Journal of Software 软件学报 Vol.32, No.11, November 2021

Fig.13 Performance comparison
图 13 性能对比
6 总结与展望

本文解决了云存储环境下对所有数据分配统一阈值进行重复数据删除的问题,提出了一种基于阈值动态
调整的重复数据删除方案.提出了理想阈值的概念,并将项目反应理论应用到重复数据删除领域中.通过上传用
户对数据隐私程度的反馈,动态调整其隐私分数,由此计算并调整重复数据删除操作的阈值.该方案可以使隐私
程度较低的数据更快地达到重复数据删除的条件,而使隐私程度较高的数据得到更好的保护.借助椭圆曲线的
重复数据删除方案,对上传数据进行加密处理,保证了数据信息安全.实验结果表明,与其他方案相比,本方案在
提升重复数据删除操作安全性的同时,并未造成额外的时间开销,具有较高的实用性.
在确保数据安全性的同时,如何提高重复数据删除效率,是下一步需要研究的问题.

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