The introduction of Data Protection by Default and Design (DPbDD) brought in as part the General Regulation (GDPR) 2018, has necessitated that businesses review how best to incorporate privacy into their processes a transparent manner, so build trust improve decisions around practice. To address this issue, paper presents 7-stage data lifecycle, supported nine goals together, will help practiti...

The privacy risks of machine learning models is a major concern when training them on sensitive and personal data. We discuss the tradeoffs between data remaining goals trustworthy (notably, fairness, robustness, explainability).

We propose Agora, the first blockchain-based data marketplace that enables multiple privacy-concerned parties to get compensated for contributing and exchanging data, without relying on a trusted third party during exchange. Agora achieves data privacy , xmlns:xlink="http://www.w3.org/1999/xlin...

Blockchain, with its characteristics of non-tamperability and decentralization, has had a profound impact on various fields society set off boom in the research application blockchain technology. However, technology faces problem data availability attacks during application, which greatly limits scope domain applications. One most advantageous researches to address this is scalable solution tha...