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  • Open Access


    Privacy-Preserving Multi-Keyword Fuzzy Adjacency Search Strategy for Encrypted Graph in Cloud Environment

    Bin Wu1,2, Xianyi Chen3, Jinzhou Huang4,*, Caicai Zhang5, Jing Wang6, Jing Yu1,2, Zhiqiang Zhao7, Zhuolin Mei1,2

    CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3177-3194, 2024, DOI:10.32604/cmc.2023.047147

    Abstract In a cloud environment, outsourced graph data is widely used in companies, enterprises, medical institutions, and so on. Data owners and users can save costs and improve efficiency by storing large amounts of graph data on cloud servers. Servers on cloud platforms usually have some subjective or objective attacks, which make the outsourced graph data in an insecure state. The issue of privacy data protection has become an important obstacle to data sharing and usage. How to query outsourcing graph data safely and effectively has become the focus of research. Adjacency query is a basic and frequently used operation in… More >

  • 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


    Paillier-Based Fuzzy Multi-Keyword Searchable Encryption Scheme with Order-Preserving

    Xiehua Li1,*, Fang Li1, Jie Jiang1, Xiaoyu Mei2

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1707-1721, 2020, DOI:10.32604/cmc.2020.011227

    Abstract Efficient multi-keyword fuzzy search over encrypted data is a desirable technology for data outsourcing in cloud storage. However, the current searchable encryption solutions still have deficiencies in search efficiency, accuracy and multiple data owner support. In this paper, we propose an encrypted data searching scheme that can support multiple keywords fuzzy search with order preserving (PMS). First, a new spelling correction algorithm-(Possibility-Levenshtein based Spelling Correction) is proposed to correct user input errors, so that fuzzy keywords input can be supported. Second, Paillier encryption is introduced to calculate encrypted relevance score of multiple keywords for order preserving. Then, a queue-based query… More >

  • Open Access


    Authorized Attribute-Based Encryption Multi-Keywords Search with Policy Updating

    Muqadar Ali, Chungen Xu*, Abid Hussain

    Journal of New Media, Vol.2, No.1, pp. 31-43, 2020, DOI:10.32604/jnm.2020.09946

    Abstract Attribute-based encryption is cryptographic techniques that provide flexible data access control to encrypted data content in cloud storage. Each trusted authority needs proper management and distribution of secret keys to the user’s to only authorized user’s attributes. However existing schemes cannot be applied multiple authority that supports only a single keywords search compare to multi keywords search high computational burden or inefficient attribute’s revocation. In this paper, a ciphertext policy attribute-based encryption (CP-ABE) scheme has been proposed which focuses on multi-keyword search and attribute revocation by new policy updating feathers under multiple authorities and central authority. The data owner encrypts… More >

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