Efficient dispersal of information for security, load balancing, and fault tolerance
Journal of the ACM (JACM)
Future Generation Computer Systems
HAIL: a high-availability and integrity layer for cloud storage
Proceedings of the 16th ACM conference on Computer and communications security
Secure Data Objects Replication in Data Grid
IEEE Transactions on Dependable and Secure Computing
A Multiple-Replica Remote Data Possession Checking Protocol with Public Verifiability
ISDPE '10 Proceedings of the 2010 Second International Symposium on Data, Privacy, and E-Commerce
Secure, Dependable, and High Performance Cloud Storage
SRDS '10 Proceedings of the 2010 29th IEEE Symposium on Reliable Distributed Systems
Security and Privacy Challenges in Cloud Computing Environments
IEEE Security and Privacy
Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing
IEEE Transactions on Parallel and Distributed Systems
Dynamic audit services for integrity verification of outsourced storages in clouds
Proceedings of the 2011 ACM Symposium on Applied Computing
Dependable and Secure Sensor Data Storage with Dynamic Integrity Assurance
ACM Transactions on Sensor Networks (TOSN)
IEEE Transactions on Knowledge and Data Engineering
On the Security and Efficiency of Content Distribution via Network Coding
IEEE Transactions on Dependable and Secure Computing
Toward Secure and Dependable Storage Services in Cloud Computing
IEEE Transactions on Services Computing
A digital fountain approach to asynchronous reliable multicast
IEEE Journal on Selected Areas in Communications
Future Generation Computer Systems
Learning management systems and cloud file hosting services: A study on students' acceptance
Computers in Human Behavior
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Data storage is an important application of cloud computing, where the users can remotely store their data into the cloud. This new paradigm of data storage service also introduces security challenges, such as Confidentiality, Integrity and Availability of data. The protection of these issues in cloud is a very challenging and potentially formidable task, especially for the users with constrained resources. Therefore, an independent auditing service is required to address these issues of data stored in the cloud. The existing schemes may not scale well for this purpose. This paper proposes a publicly verifiable dynamic secret sharing scheme for the Availability, Integrity and Confidentiality of data. Their scheme takes advantages of both Secret Sharing and Tornado code which can achieve the computational security and maintain low communication overhead in terms of shortened data dispersing size. The authors' model gives probabilistic proofs of Integrity of data by challenging random blocks from the server to reduce the computation and communication overhead, and also supports dynamic data operations to data shares in cloud using index table. Through extensive security analysis, their scheme can provide secure, dependable, and publicly verifiable cloud data storage in the Cloud against threats. Through the performance and experimental results, the authors prove that their scheme is efficient than existing schemes.