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Search Results (11)
  • Open Access


    A Lightweight, Searchable, and Controllable EMR Sharing Scheme

    Xiaohui Yang, Peiyin Zhao*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1521-1538, 2024, DOI:10.32604/cmc.2024.047666

    Abstract Electronic medical records (EMR) facilitate the sharing of medical data, but existing sharing schemes suffer from privacy leakage and inefficiency. This article proposes a lightweight, searchable, and controllable EMR sharing scheme, which employs a large attribute domain and a linear secret sharing structure (LSSS), the computational overhead of encryption and decryption reaches a lightweight constant level, and supports keyword search and policy hiding, which improves the high efficiency of medical data sharing. The dynamic accumulator technology is utilized to enable data owners to flexibly authorize or revoke the access rights of data visitors to the data to achieve controllability of… More >

  • Open Access


    Efficient Expressive Attribute-Based Encryption with Keyword Search over Prime-Order Groups

    Qing Miao1, Lan Guo1, Yang Lu1,*, Zhongqi Wang2

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2737-2754, 2023, DOI:10.32604/iasc.2023.028693

    Abstract Attribute-based encryption with keyword search (ABEKS) is a novel cryptographic paradigm that can be used to implement fine-grained access control and retrieve ciphertexts without disclosing the sensitive information. It is a perfect combination of attribute-based encryption (ABE) and public key encryption with keyword search (PEKS). Nevertheless, most of the existing ABEKS schemes have limited search capabilities and only support single or simple conjunctive keyword search. Due to the weak search capability and inaccurate search results, it is difficult to apply these schemes to practical applications. In this paper, an efficient expressive ABEKS (EABEKS) scheme supporting unbounded keyword universe over prime-order… More >

  • Open Access


    Chosen-Ciphertext Attack Secure Public-Key Encryption with Keyword Search

    Hyun Sook Rhee*

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 69-85, 2022, DOI:10.32604/cmc.2022.026751

    Abstract As the use of cloud storage for various services increases, the amount of private personal information along with data stored in the cloud storage is also increasing. To remotely use the data stored on the cloud storage, the data to be stored needs to be encrypted for this reason. Since “searchable encryption” is enable to search on the encrypted data without any decryption, it is one of convenient solutions for secure data management. A public key encryption with keyword search (for short, PEKS) is one of searchable encryptions. Abdalla et al. firstly defined IND-CCA security for PEKS to enhance it’s… More >

  • Open Access


    Towards Privacy-Preserving Cloud Storage: A Blockchain Approach

    Jia-Shun Zhang1, Gang Xu2,*, Xiu-Bo Chen1, Haseeb Ahmad3, Xin Liu4, Wen Liu5,6,7

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 2903-2916, 2021, DOI:10.32604/cmc.2021.017227

    Abstract With the rapid development of cloud computing technology, cloud services have now become a new business model for information services. The cloud server provides the IT resources required by customers in a self-service manner through the network, realizing business expansion and rapid innovation. However, due to the insufficient protection of data privacy, the problem of data privacy leakage in cloud storage is threatening cloud computing. To address the problem, we propose BC-PECK, a data protection scheme based on blockchain and public key searchable encryption. Firstly, all the data is protected by the encryption algorithm. The privacy data is encrypted and… More >

  • Open Access


    Attribute-Based Keyword Search over the Encrypted Blockchain

    Zhen Yang1, Hongao Zhang1, Haiyang Yu1,*, Zheng Li1, Bocheng Zhu1, Richard O. Sinnott2

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 269-282, 2021, DOI:10.32604/cmes.2021.015210

    Abstract To address privacy concerns, data in the blockchain should be encrypted in advance to avoid data access from all users in the blockchain. However, encrypted data cannot be directly retrieved, which hinders data sharing in the blockchain. Several works have been proposed to deal with this problem. However, the data retrieval in these schemes requires the participation of data owners and lacks finer-grained access control. In this paper, we propose an attribute-based keyword search scheme over the encrypted blockchain, which allows users to search encrypted files over the blockchain based on their attributes. In addition, we build a file chain… More >

  • Open Access


    IoT Services: Realizing Private Real-Time Detection via Authenticated Conjunctive Searchable Encryption

    Chungen Xu1,*, Lin Mei1, Jinxue Cheng2, Yu Zhao1, Cong Zuo3

    Journal of Cyber Security, Vol.3, No.1, pp. 55-67, 2021, DOI:10.32604/jcs.2021.017217

    Abstract With the rapid development of wireless communication technology, the Internet of Things is playing an increasingly important role in our everyday. The amount of data generated by sensor devices is increasing as a large number of connectable devices are deployed in many fields, including the medical, agricultural, and industrial areas. Uploading data to the cloud solves the problem of data overhead but results in privacy issues. Therefore, the question of how to manage the privacy of uploading data and make it available to be interconnected between devices is a crucial issue. In this paper, we propose a scheme that supports… More >

  • Open Access


    Verifiable Identity-Based Encryption with Keyword Search for IoT from Lattice

    Lin Mei1, Chungen Xu1,*, Lei Xu1, Xiaoling Yu2, Cong Zuo3

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2299-2314, 2021, DOI:10.32604/cmc.2021.017216

    Abstract Internet of Things (IoT), which provides the solution of connecting things and devices, has increasingly developed as vital tools to realize intelligent life. Generally, source-limited IoT sensors outsource their data to the cloud, which arises the concerns that the transmission of IoT data is happening without appropriate consideration of the profound security challenges involved. Though encryption technology can guarantee the confidentiality of private data, it hinders the usability of data. Searchable encryption (SE) has been proposed to achieve secure data sharing and searching. However, most of existing SE schemes are designed under conventional hardness assumptions and may be vulnerable to… More >

  • Open Access


    MapReduce Implementation of an Improved Xml Keyword Search Algorithm

    Yong Zhang1,2, Jing Cai1, Quanlin Li1

    Computer Systems Science and Engineering, Vol.33, No.2, pp. 125-135, 2018, DOI:10.32604/csse.2018.33.125

    Abstract Extensible Markup Language (XML) is commonly employed to represent and transmit information over the Internet. Therefore, how to effectively search for keywords of massive XML data becomes a new issue. In this paper, we first present four properties to improve the classical ILE algorithm. Then, a kind of parallel XML keyword search algorithm, based on intelligent grouping to calculate SLCA, is proposed and realized under MapReduce programming model. At last, a series of experiments are implemented on 7 datasets of different sizes. The obtained results indicate that the proposed algorithm has high execution efficiency and is applicable to keyword search… 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


    Verifiable Outsourcing of High-Degree Polynomials and Tts Application in Keyword Search

    Jun Yea, Xianlin Zhoub, Zheng Xuc, Yong Dingd

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 41-46, 2018, DOI:10.1080/10798587.2016.1267239

    Abstract In big data era, people cannot afford more and more complex computation work due to the constrained computation resources. The high reliability, strong processing capacity, large storage space of cloud computing makes the resource-constrained clients remotely operate the heavy computation task with the help of cloud server. In this paper, a new algorithm for secure outsourcing of high degree polynomials is proposed. We introduce a camouflage technique, which the real polynomial will be disguised to the untrusted cloud server. In addition, the input and output will not be revealed in the computation process and the clients can easily verify the… More >

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