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Verifying Result Correctness of Outsourced Frequent Itemset in Data Mining through Probabilistic and deterministic approaches

机译:通过概率和确定性方法验证外包频繁项目集在数据挖掘中的结果正确性

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Cloud computing technology has enabled large organization to outsource data to a third-party service provider (server) for data mining and has provided a natural solution for the data-mining paradigms. However, outsourcing raises a serious security and privacy issue. Data outsourcing is the key task in recent days, for accessing services of the database processing. For the client with the weak computational capacity, there is no assurance or guarantee to know if the server returned correct mining results or not. This paper focuses on the specific task of frequent item set mining. The server that is potentially untrusted and tries to escape from verification by using its prior knowledge of the outsourced data is considered. An efficient probabilistic and deterministic verification.......
机译:云计算技术使大型组织可以将数据外包给第三方服务提供商(服务器)进行数据挖掘,并且为数据挖掘范例提供了自然的解决方案。但是,外包引发了严重的安全和隐私问题。数据外包是近来访问数据库处理服务的关键任务。对于计算能力较弱的客户端,无法保证或保证知道服务器是否返回了正确的挖掘结果。本文重点介绍频繁项目集挖掘的特定任务。考虑了可能不受信任的服务器,并尝试使用其对外包数据的先验知识逃避验证。有效的概率和确定性验证.......

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