关键词: 匿名模型, 链接攻击, 敏感分级, 相似性攻击, 流数据

Abstract: Aiming at the problem that  the streaming data were constantly changing, fast and potentially unlimited features, and it was more difficult to protect than static data privacy. Based on streaming data, we proposed a new data information anonymous algorithm to solve the problem of sensitive value and its sensitivity level  changing with data transformation. It could  effectively prevent  anonymous streaming data from being  linked attacks, similarity attacks and threat attack  based on sensitive classification. The  results of simulation experiment show that the new data anonymous model can effectively protect the anonymous information of the data.

Key words: link attack, similarity attack, anonymous model, streaming data, sensitive classification