부산대학교 도서관

The amount of data that humans have generated and transmitted online in this century has led to growing concerns about privacy and data security as users share personal information on online platforms and there is a risk of a breach on data and in fraudulent activities have increased. This paper addresses these challenges and explores the potential of real-time privacy protection strategy in big data analytics. Our proposed solutions include a secure environment where users can upload and lock their personal data, and then provide a unique digital identity. When sharing on other platforms, this identifier replaces the actual records, ensuring that the unique content material stays secure. If there is any unauthorized access or misuse happen in real time internal then to secure the data a unique Blockchain protection mechanism need to apply which is better than traditional unauthorized protection techniques (like. Username and Password). To protect customer privacy a better blockchain (unique key) protected structure required for stopping unauthorized access of data.