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MIDAS: Load-Balanced Metadata-Outsourcing ID-Embedded Data Auditing Scheme for Mobile Devices
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Summary
MIDAS is a data auditing scheme for mobile devices that outsources computation-intensive auditing metadata generation to edge nodes, leaving mobile devices with only lightweight processing. It embeds edge node identity into the metadata for traceability and adds a proportional load-balanced scheduling algorithm for Multi-MU and Multi-EN scenarios. The authors prove its security by reduction to the discrete logarithm problem in the RSA quadratic residue subgroup under the random oracle model, and real-world experiments show reduced mobile computational overhead and better scalability than existing schemes.