Abstract:

Recently, cloud computing has made it possible for cloud users to secure their data in cloud storage by offering reliable, individualized, and high-quality services. Many commercial organizations currently produce vast amounts of intelligent data, including personal information, financial data, and health records. As a result, the firm is producing more digital data than before. Instead of storing the data locally, they intend to outsource its storage to a cloud environment. However, the data owner's main concern is ensuring the security and integrity of their outsourced data. Our suggested solution views this problem as a difficult undertaking and uses remote data auditing (RDA) to secure outsourced data in a cloud environment. The majority of auditing techniques used to be restricted to static data and did not allow dynamic data. In this research, we suggested a professional RDA method for cloud storage systems that uses the Data Privacy Preserving Protocol. Additionally, the system model of ours is designed to support dynamic data operations in cloud environments. In comparison to current auditing techniques, the experimental result demonstrates that our proposed auditing protocol is both very efficient and secure.