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Privacy Preserving Time Efficient Access Control Aware Keyword Search Over Encrypted Data on Cloud Storage

机译:隐私保留时间高效访问控制感知关键字在云存储上的加密数据中搜索

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摘要

Cloud computing delivers storage service to users accessed via Internet. Infrastructure used to store outsourced data is under the control of the cloud service provider. The extensive use of virtualization technology in infrastructure leads to security concern for users using public storage service. Hence, data confidentiality becomes a primary challenge in the cloud environment. Development of new technologies to protect data privacy and to provide processing capabilities to the data storage is the current requirement. This paper proposes a novel approach for access control aware keyword search over encrypted. The proposed Ciphertext-Policy Attribute-Based Keyword Search scheme allows only the authorized data users to search data stored on cloud. Encrypted index set stored along with the ciphertext on provider storage. Index set is partitioned over index server to perform parallel search. The proposed model ensures the confidentiality of data and then returns only ranked documents that match the query given by data requester. The experimental result shows that the search time reduces when using term-partitioned index set. Also, ensures security by allowing search on encrypted data without leaking any information to cloud server.
机译:Cloud Computing将存储服务提供给通过Internet访问的用户。用于存储外包数据的基础架构是在云服务提供商的控制下。基础架构中虚拟化技术的广泛使用会导致使用公共存储服务的用户的安全问题。因此,数据机密性成为云环境中的主要挑战。开发新技术以保护数据隐私并为数据存储提供处理能力是当前要求。本文提出了一种用于加密的访问控制感知关键字搜索的新方法。基于ChipherText-Policy的基于密文 - 策略的关键字搜索方案仅允许授权的数据用户搜索存储在云上的数据。加密索引集与提供商存储上的密文一起存储。索引集通过索引服务器进行分区以执行并行搜索。该模型可确保数据的机密性,然后仅返回与数据请求者给出的查询匹配的排名文档。实验结果表明,使用术语分区索引集时搜索时间减少。此外,通过允许搜索加密数据来确保安全性,而不将任何信息泄露到云服务器。

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