摘要: 针对位置信息服务(LBS)中出现的连续查询的隐私问题,提出了一种新型的防范历史攻击的k-匿名算法。该算法根据周围用户的位置、移动速度和移动方向,预测这些用户将来的位置,利用这些位置计算出未来不同时间点上将某用户加入匿名集使匿名区域增大的面积,利用贪心算法优先选择增大面积之和最小的用户加入匿名集。在OPNET 14.5平台下进行了仿真实验,实验结果证明了该算法所形成的匿名区域大小适当,在历史攻击的情况下,既能保护用户的隐私,又能保证一定的服务质量。
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