An efficient public auditing scheme for cloud storage server
Haiyang Yu, Yongquan Cai, Shanshan Kong · 2016
Storing data in cloud storage servers is a new trend with the development of cloud computing. Cloud storage brings lots of benefits and allows cloud users to access their data from any device. However, it also brings security challenges. Cloud user loses its control on its data because all data is stored remotely on the cloud servers. Data auditing is desired to help cloud user ensure the safety of its data. This technology can verify the integrity of cloud user's data without downloading any data. In this paper, we proposed an efficient public auditing scheme, which can preserve the privacy of cloud user's data by using the property of bilinear map and random masking technique. The proposed scheme uses BLS signature to improve the efficiency. Security analysis shows that the proposed scheme is provably secure.