Panda: Public Auditing for Shared Data
with Efficient User Revocation in the Cloud
Abstract— Panda: Public Auditing for Shared Data
with Efficient User Revocation in the Cloud. With data storage and sharing services in the cloud, users can easily modify and share data as a group. To ensure shared data integrity can be veriﬁed publicly, users in the group need to compute signatures on all the blocks in shared data. Different blocks in shared data are generally signed by different users due to data < Final Year Projects 2016 > diﬁcations performed by different users. For security reasons, once a user is revoked from the group, the blocks which were previously signed by this revoked user must be re-signed by an existing user. The straightforward method, which allows an existing user to download the corresponding part of shared data and re-sign it during user revocation, is inefﬁcient due to the large size of shared data in the cloud. In this paper, we propose a novel public auditing mechanism for the integrity of shared data with efﬁcient user revocation in mind.
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