Securing Insurance with Privacy-Preserving Data Aggregation

Edge computing are used increasingly as it is more powerful and widespread deployment of edge devices, which enables users to manage and analyze data, while also extending computational power and data retrieval to network edges. Cloud computing is more effective in providing secure and reliability to users. However, privacy and security of outsourced data in cloud communications are difficult to address. The proposed system is secure and Privacy-preserving Data Aggregation scheme, which achieves diversified both privacy and security of outsourced data. The proposed work used proxy re-encryption concept to provide more security to the outsourced data. The proposed system is designed as Insurance services application. The outsourced data is encrypted with Advance Encryption Standard (AES) algorithm, and re-encrypted to make more secure. The data outsourced to cloud server thus user can retrieve and provided decryption key to decrypt, re-decrypt and view the data. There are three entities designed in the proposed work are aggregator, user and agent. Users or producer provide the details are encrypted and stored in cloud server. The agent or consumer are one, who retrieves data and view for further processing. Aggregator is the one, who aggregates data and store in cloud server, manage user and access to data. Aggregator also generated key and provide data security and privacy to users.