Secure Electronic Health Record Storage in the Cloud Based on Multiple Fragmentation and Reconstruction Using Blockchain with Cryptographic Techniques
W. Mercy, L. Sherly Puspha Annabel · 2024
Data privacy is an important factor in cloud data storage. Still there are some security issues such as hacking that may take place with respect to data. In the existing techniques the time and cost consumption are more in computing and data storage. Data privacy is a challenging one against hacking and to avoid hacking data can be fragmented over multiple locations when storing and reconstructed while accessing the data. In the existing implementation single field query is used to access the Electronic Health Records (EHR). It will take more time to fetch the data and the fetched data also will be huge with some unwanted data. This paper proposes multi field skyline conditional query to access the accurate EHR data for minimizing the accessing time to improve the performance by implementing B+-Tree indexing and skyline query. Cloud data storage privacy also will be improved with Cryptography and Blockchain techniques. Secure Hashing Algorithm (SHA 512), Consensus algorithm and Smart Contracts are used for data integrity and fault tolerance mechanism. The possible goals include effective data storage and access, reducing security breach, storage overhead, avoiding hacking, enhancing data privacy.