关键词: 远程数据完整性验证（RDIC）, 错误数据定位, 批处理验证, 云存储安全, Merkle Hash Tree（MHT）

Abstract: The Remote Data Integrity Checking（RDIC）, which can enable the users to verify the integrity of the outsourced data through a small amount of interaction with the server, is an important technology to ensure the security of cloud data. In reality, the cloud storage service is generally between multiple users and multiple servers. Recently, many RDIC schemes that support batch verification for multi-user and multi-server storage have been proposed. But after the batch verification fails, these schemes can’t determine the error data owners or the servers where the corrupted data is stored at one challenge process. It proposes a batch scheme with corrupted data positioning by utilizing Merkle Hash Tree（MHT）, which can locate the damaged data owners and storage server where they store while the batch verification fails.

Key words: Remote Data Integrity Checking（RDIC）, corrupted data location, batch verification, cloud storage security, Merkle Hash Tree（MHT）