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  • Open Access


    Integrity Assurance Method of Multi-Keyword Query for Encrypted Outsourced Data

    Ling Wang1, Shan Ji2, Zhaokang Wang3, Xiaowan Wang4,*, Ghulam Mohiuddin5, Yongjun Ren1

    Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 221-234, 2022, DOI:10.32604/iasc.2022.027536

    Abstract As the data scale exceeds the petabyte level, more and more users outsource their local databases to third-party service providers to save local storage costs and avoid cumbersome local data management. However, because third-party service providers are not fully trusted, they may leak outsourced data and bring security risks to the personal privacy of data users. The service provider may also return incorrect or incomplete query results to the data user. Therefore, in this paper, we propose a Lightweight and Verifiable Multi-keyword Query Scheme for the integrity verification of multi-keyword query of outsourced data. This scheme supports multi-keyword query integrity… More >

  • Open Access


    Verifiable Diversity Ranking Search Over Encrypted Outsourced Data

    Yuling Liu1,*, Hua Peng1, Jie Wang2

    CMC-Computers, Materials & Continua, Vol.55, No.1, pp. 37-57, 2018, DOI:10.3970/cmc.2018.055.037

    Abstract Data outsourcing has become an important application of cloud computing. Driven by the growing security demands of data outsourcing applications, sensitive data have to be encrypted before outsourcing. Therefore, how to properly encrypt data in a way that the encrypted and remotely stored data can still be queried has become a challenging issue. Searchable encryption scheme is proposed to allow users to search over encrypted data. However, most searchable encryption schemes do not consider search result diversification, resulting in information redundancy. In this paper, a verifiable diversity ranking search scheme over encrypted outsourced data is proposed while preserving privacy in… More >

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