Blockchain for Achieving Accountable Outsourcing Computations in Edge Computing

Karthi P., Menaka S.R., Singaravel G.
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Abstract

Since the emergence of cloud computing, data owners are being driven to move their intricate data management systems from on-site locations to private cloud providers in order to take advantage of increased flexibility and cost savings. However, sensitive data must be encrypted before being outsourced in order to safeguard data privacy. This renders outdated the conventional method of using data, which relies on plaintext keyword searches. It is therefore crucial to activate an encrypted cloud data search service. In order to meet the effective data retrieval, need, search services must support multi-keyword queries and offer result similarity rating, given the volume of data users and documents stored in cloud storage. Similar works on searchable encryption seldom distinguish between search results and concentrate on single keyword or Boolean keyword search. I define and solve the difficult problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE) for the first time in this work. I also outline a tight set of privacy requirements that must be met in order for such a safe cloud data utilization system to be implemented.
区块链在边缘计算中实现可问责的外包计算
自云计算出现以来,数据所有者正被驱使将其复杂的数据管理系统从现场位置转移到私有云提供商,以利用更高的灵活性和成本节约。然而,敏感数据在外包之前必须加密,以保护数据隐私。这就使得依靠明文关键字搜索的传统数据使用方法过时了。因此,激活加密云数据搜索服务至关重要。为了满足有效的数据检索需求,搜索服务必须支持多关键词查询,并提供结果相似度评级,因为云存储中存储了大量的数据用户和文档。类似的可搜索加密作品很少区分搜索结果,而是集中于单关键词或布尔关键词搜索。在这项工作中,我首次定义并解决了在加密云数据上进行隐私保护多关键字排序搜索(MRSE)这一难题。我还概述了一套严格的隐私要求,要实现这样一个安全的云数据利用系统,必须满足这些要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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