Abla Smahi

TL;DR: This work proposes a blockchain-based data sharing framework that sufficiently addresses the access control challenges associated with sensitive data stored in the cloud using immutability and built-in autonomy properties of the blockchain.

TL;DR: The sovereign blockchain technology, which provides transparency and provenance, is utilized in this paper to mitigate these above mentioned problems and proves very efficient as the user can monitor how the electricity is used, and it also provides a platform where there is no manipulation from either party.

TL;DR: This article proposes a secure fine-grain access control system for outsourced data, which supports read and write operations to the data and makes use of an attribute-based encryption (ABE) scheme, which is regarded as a suitable scheme to achieve access control for security and privacy (confidentiality) of outsourcing data.

TL;DR: A blockchain-based privacy-preserving SVM classification (BPPSVC) between mutually distrustful data owners is introduced, and the security analysis indicates that the proposed system is secure and it provides fairness and protection against Denial of Service (DoS) attacks.

TL;DR: Wang et al. as discussed by the authors constructed a reliable deep-learning model capable of producing high classification accuracy on chest X-ray images for lung diseases, and the suggested framework first derived richer features using an ensemble technique, then a global second-order pooling was applied to further derive higher global features of the images.