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Safe and high secured ranked keyword searchover an outsourced cloud data

机译：安全和高安全排名关键字搜索外包云数据

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摘要

Cloud computing empowers the prototypical of data service outsourcing. To defend data concealment, penetrating cloud data has to be encrypted before outsourced to the salable public cloud. Traditional searchable encryption techniques provision only Boolean search and are not yet plenty to meet the operative data utilization need that is inherently demanded by large number of users and enormous amount of data files in cloud. In this project, we delineate and elucidate the tricky of sheltered ranked keyword search over encrypted cloud data. Ranked search momentously enhances system usability by enabling search result relevance ranking in its place of sending undifferentiated results, and auxiliarywarrants the file retrieval precision. we explore the statistical measure methodology, i.e. relevance score, from information retrieval to physique a sheltered searchable index, and progress a one-to-many order-preserving mapping technique to appropriatelyshelter those penetrating score information.
机译：云计算赋予数据服务外包的原型。为了防御数据隐藏，必须在外包到可销售公共云之前加密贯穿云数据。传统可搜索的加密技术仅提供布尔搜索，并且尚不充分满足由大量用户和云中的大量数据文件所需的操作数据利用率。在这个项目中，我们描绘并阐明通过加密云数据的庇护排名关键字搜索的棘手。排名搜索瞬间通过启用搜索结果相关性排名在其发送未分化的结果的位置来增强系统可用性，以及辅助船舶文件检索精度。我们探索统计测量方法，即相关性得分，从信息检索到体格的避难所可搜索的索引，并进展一对多秩序保护映射技术，以适当地应用那些穿透的分数信息。

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