| Title | Ciphertext-Policy Attribute-Based Encryption with Multi-keyword Search over Medical Cloud Data |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Yin, Changchun, Wang, Hao, Zhou, Lu, Fang, Liming |
| Conference Name | 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) |
| Date Published | Dec. 2021 |
| Publisher | IEEE |
| ISBN Number | 978-1-6654-0392-4 |
| Keywords | attribute-based encryption, cloud computing, Conferences, Encryption, Human Behavior, performance evaluation, policy-based governance, privacy, pubcrawl, public healthcare, Scalability, Searchable encryption, Servers |
| Abstract | Over the years, public health has faced a large number of challenges like COVID-19. Medical cloud computing is a promising method since it can make healthcare costs lower. The computation of health data is outsourced to the cloud server. If the encrypted medical data is not decrypted, it is difficult to search for those data. Many researchers have worked on searchable encryption schemes that allow executing searches on encrypted data. However, many existing works support single-keyword search. In this article, we propose a patient-centered fine-grained attribute-based encryption scheme with multi-keyword search (CP-ABEMKS) for medical cloud computing. First, we leverage the ciphertext-policy attribute-based technique to construct trapdoors. Then, we give a security analysis. Besides, we provide a performance evaluation, and the experiments demonstrate the efficiency and practicality of the proposed CP-ABEMKS. |
| URL | https://ieeexplore.ieee.org/document/9343012/ |
| DOI | 10.1109/TrustCom50675.2020.00047 |
| Citation Key | yin_ciphertext-policy_2020 |
Ciphertext-Policy Attribute-Based Encryption with Multi-keyword Search over Medical Cloud Data