Survey and a New Taxonomy of Proofs of Retrievability on the Cloud Storage

2021 ◽  
Author(s):  
Abdel Ali Harchaoui ◽  
Ali Younes ◽  
Abdelaaziz El Hibaoui ◽  
Ahmed Bendahmane
2018 ◽  
Vol 11 (4) ◽  
pp. 685-698 ◽  
Author(s):  
Zhengwei Ren ◽  
Lina Wang ◽  
Qian Wang ◽  
Mingdi Xu

2012 ◽  
Vol 3 (3) ◽  
pp. 60-61
Author(s):  
V.Sajeev V.Sajeev ◽  
◽  
R.Gowthamani R.Gowthamani

2017 ◽  
Vol 10 (2) ◽  
Author(s):  
Irfan Santiko ◽  
Rahman Rosidi ◽  
Seta Agung Wibawa

Author(s):  
Neha Thakur ◽  
Aman Kumar Sharma

Cloud computing has been envisioned as the definite and concerning solution to the rising storage costs of IT Enterprises. There are many cloud computing initiatives from IT giants such as Google, Amazon, Microsoft, IBM. Integrity monitoring is essential in cloud storage for the same reasons that data integrity is critical for any data centre. Data integrity is defined as the accuracy and consistency of stored data, in absence of any alteration to the data between two updates of a file or record.  In order to ensure the integrity and availability of data in Cloud and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. To overcome data integrity problem, many techniques are proposed under different systems and security models. This paper will focus on some of the integrity proving techniques in detail along with their advantages and disadvantages.


Author(s):  
Linlin Li ◽  
Qingchao Wang ◽  
Yanjun Han ◽  
XiaoHui Ma ◽  
Yang Jiao
Keyword(s):  

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