An Efficient Privacy-Preserving Public Auditing Protocol for Cloud-Based Medical Storage System

The Internet of Things revolutionizes healthcare, facilitated by cloud-based medical storage systems addressing data storage challenges. Ensuring the integrity of outsourced medical data is vital for accurate diagnoses. This paper proposes an efficient, privacy-preserving public auditing protocol for cloud-based medical storage, supporting batch auditing and dynamic data updates. Security analysis affirms protocol robustness, and performance evaluations demonstrate substantial reductions in computational costs for both data owners and third-party auditors, significantly enhancing communication efficiency between auditors and cloud servers. Compared to existing approaches, our protocol minimizes the computational burden on auditors and saves over two-thirds of data owner computational costs, along with nearly 90% reduced communication overhead.