An Efficient Dyanmic Data Auditing Scheme For Combat Cloud

In modern warfare, military Internet of Things (IoMT) architectures are employed to collect vast amounts of battlefield data for war situation analysis. Storing this data in a combat cloud is an effective approach to accelerate combat readiness deployment. However, outsourcing such data introduces risks to confidentiality and integrity. This paper proposes an audit scheme, CC-Audit, leveraging edge computing services to safeguard sensitive data generated in real-time by the IoMT. To ensure effective connections, we develop a service selection algorithm that aligns with IoMT task requirements while optimizing target objectives. To support high-frequency dynamic operations, we design a novel dynamic data structure called the Index Conversion Red-Black Tree (ICRBT). Furthermore, we introduce a dynamic audit protocol to ensure data integrity. A security model is constructed to analyze the proposed audit protocol, and its effectiveness is demonstrated through theoretical analysis and simulation results.