一种高效的大数据中心完整性检查方案研究

摘要

在大数据中心的云存储应用中，用户不需要在本地客户端保存自己的文件，因而存储文件的安全性非常重要。数据的鲁棒性是云存储的重要关注点，可能会面临两大问题：服务故障和服务损坏。文章提出了一种能够增强数据鲁棒性的完整性检查方案，使得大数据中心存储系统不仅可以解决存储服务器故障问题，而且还可以应对存储服务器损坏问题。方案采用了同态完整性标签，不需要用户密钥或备份服务器的参与，新型完整性标签可以从存储服务器中旧的完整性标签计算得出。最后，文章形式化地证明了完整性检查方案的安全性。%For the application of cloud storage in the big data center, a user no longer possesses his ifles in his local depository. Thus, he is concerned about the security of the stored ifles. For data robustness, there are two concerns: service failure, and service corruption. In this paper, we propose an integrity check scheme for their system to enhance data robustness against storage server corruption, with which their storage system in the big data center can deal with not only the problem of storage server failure, but also the problem of storage server corruption. Furthermore, we adopt homomorphic integrity tags such that new integrity tags can be computed from old integrity tags by storage servers without involvement of the user's secret key or backup servers. In conclusion, we prove the security of our integrity check scheme formally.