2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) · 2018 · 10 citations · 11 references
ComputingCloud ComputingHealth InformaticsCryptographyElectronic Health RecordsHealth Information SecurityAttribute-based EncryptionData EncryptionData ProtectionData SecurityHealth Data EncryptionSecure Data SharingAccess Control For Cloud-stored Personal DataCloud-based Personal Health RecordsData AccessElectronic Personal Health RecordsEncrypted Data SharingEncryptionHealth Data ProtectionPersonal Health Records Policy
Personal Health Records (PHR) is essential health related management system to preserve the health data for someone. These facts are stored on untrusted servers which make secure Information sharing System. The accessing process of cloud servers are normally access by 3 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> -User, Generally the PHR policies done through on these cloud, the Major Encryption Strategies is used can be carried out - encrypted Public Health Record's are stored on storage Cloud. To recommend these troublesome commitments, the Enhanced Attribute-Based Encryption (ABE) strategies are used. Fine-grained information collects the right of entry to manipulate is guaranteed on un-trusted servers. In these methodologies, the data owners are in charge of encrypting the data before upload or downloading them on the cloud and also re-encryption done when there is a change in client credentials. To perform the fine-grained enhanced ABE is able to access the information data securely for PHR from these access and share each patient's PHR file by securely. The results show the efficient and effectiveness of our methodology for data access and sharing in cloud computing. Our methodical approach will reasonable for the resources constrained gadgets. Our Approach will diminish the computational cost of customers is finished by outsourcing process.
11
Efficient Attribute-Based Comparable Data Access Control
Zhijie Wang, Dijiang Huang, Yan Zhu et al. · IEEE Transactions on Computers · 2015 · 61 citations