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云存储中,对远程数据的完整性验证是至关重要的。用户可以在不需要下载全部数据的情况下,验证存在云服务器中的数据是否完整。在某些应用场景中,用户需要存储他们的数据在多云服务器上,同时,为了减少验证的开销,验证检测算法必须是高效的。针对这种情况,提出一种新的远程数据完整性检测模型:在多云环境下,基于身份的分布式数据持有型验证,即ID-DPDP模型。此外,通过与其他方案进行对比分析,证明所提出方案是安全的、高效的。
Cloud storage, the integrity of remote data validation is crucial. Users can verify that there is no data in the cloud server without downloading all the data. In some scenarios, users need to store their data on a cloudy server, and in order to reduce verification overhead, the verification detection algorithm must be efficient. Aiming at this situation, a new remote data integrity detection model is proposed: In the cloudy environment, ID-DPDP is ID-DPDP. In addition, by comparing with other programs, the proposed scheme is proved to be safe and efficient.