计算机科学 ›› 2019, Vol. 46 ›› Issue (1): 206-211.doi: 10.11896/j.issn.1002-137X.2019.01.032
陈虹云, 王杰华, 胡兆鹏, 贾露, 喻纪文
CHEN Hong-yun, WANG Jie-hua, HU Zhao-peng, JIA Lu, YU Ji-wen
摘要: 随着信息技术的发展,医疗数据发布中的隐私保护技术一直是数据隐私研究的热点,医疗数据发布的同步更新是其中一个重要问题。为解决医疗数据匿名发布的同步问题,提出了一种建立在(α,k)-匿名数据基础上的支持数据动态更新的算法——(α,k)-UPDATE。该算法通过对语义贴近度的计算,在(α,k)-匿名数据集中选择最贴近的等价类,再进行相应的更新操作。更新后的匿名数据集满足(α,k)-匿名约束,可有效地保护患者的隐私信息。实验结果表明,该算法能在实际环境中稳定、有效地运行,在满足医疗数据实时一致性的同时,具有运算时间短、信息损失度小的优点。
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