IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i15p3333-d1206083.html
   My bibliography  Save this article

OO-MA-KP-ABE-CRF: Online/Offline Multi-Authority Key-Policy Attribute-Based Encryption with Cryptographic Reverse Firewall for Physical Ability Data

Author

Listed:
  • You Zhao

    (College of Physical Education, Harbin University, Harbin 150090, China)

  • Ye Fan

    (College of Data Science and Technology, Heilongjiang University, Harbin 150080, China)

  • Xuefen Bian

    (College of Data Science and Technology, Heilongjiang University, Harbin 150080, China)

Abstract

In many universities, students’ physical ability data are collected and stored in the cloud through various sensing devices to save computational and storage costs. Therefore, how to effectively access data while ensuring data security has become an urgent issue. Key-policy attribute-based encryption (KP-ABE) not only enables secure one-to-many communication and fine-grained access control but also adapts to data sharing in static scenarios, making it more suitable for the cloud sharing of physical ability data. In this paper, we construct an online/offline multi-authority key-policy attribute-based encryption with a cryptographic reverse firewall for physical ability data. This scheme uses multi-authority to avoid the single point of failure crisis of a single authority, and is combined with a cryptographic reverse firewall to resist backdoor attacks. In addition, the scheme uses outsourcing decryption to save users’ computing costs, and utilizes offline/online technology to move a large amount of computing offline, reducing the online burden. Finally, the experiment shows the feasibility of the scheme.

Suggested Citation

  • You Zhao & Ye Fan & Xuefen Bian, 2023. "OO-MA-KP-ABE-CRF: Online/Offline Multi-Authority Key-Policy Attribute-Based Encryption with Cryptographic Reverse Firewall for Physical Ability Data," Mathematics, MDPI, vol. 11(15), pages 1-19, July.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:15:p:3333-:d:1206083
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/15/3333/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/15/3333/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. S. Nagaraj & Atul B. Kathole & Leena Arya & Neha Tyagi & S. B. Goyal & Anand Singh Rajawat & Maria Simona Raboaca & Traian Candin Mihaltan & Chaman Verma & George Suciu, 2022. "Improved Secure Encryption with Energy Optimization Using Random Permutation Pseudo Algorithm Based on Internet of Thing in Wireless Sensor Networks," Energies, MDPI, vol. 16(1), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:15:p:3333-:d:1206083. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.