摘要
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。
Remote data integrity verification is essential in cloud storage. It can make the clients verify whether their outsourced data was kept intact without downloading the whole data. In some application scenarios, the clients have to store their data on multi-cloud servers. At the same time, the integrity checking protocol must be efficient in order to save the verifier's cost. From the two points, a novel remote data integrity checking model which is ID-DPDP was proposed in muhi-cloud storage. In addition, the comparative analysis with other schemes proved that the presented scheme is a safe and efficient.
出处
《互联网天地》
2015年第2期24-27,共4页
China Internet
关键词
云计算
数据持有性验证
分布式计算
基于身份加密
数据完整性
cloud computing, provable data possession, distributed computing, identity-based cryptography, data integrity