A Survey of Secure Data Deduplication Schemes for Cloud Storage Systems

2017 ◽  
Vol 49 (4) ◽  
pp. 1-38 ◽  
Author(s):  
Youngjoo Shin ◽  
Dongyoung Koo ◽  
Junbeom Hur
2016 ◽  
Vol 28 (11) ◽  
pp. 3113-3125 ◽  
Author(s):  
Junbeom Hur ◽  
Dongyoung Koo ◽  
Youngjoo Shin ◽  
Kyungtae Kang

2018 ◽  
Vol 10 (4) ◽  
pp. 43-66 ◽  
Author(s):  
Shubhanshi Singhal ◽  
Pooja Sharma ◽  
Rajesh Kumar Aggarwal ◽  
Vishal Passricha

This article describes how data deduplication efficiently eliminates the redundant data by selecting and storing only single instance of it and becoming popular in storage systems. Digital data is growing much faster than storage volumes, which shows the importance of data deduplication among scientists and researchers. Data deduplication is considered as most successful and efficient technique of data reduction because it is computationally efficient and offers a lossless data reduction. It is applicable to various storage systems, i.e. local storage, distributed storage, and cloud storage. This article discusses the background, components, and key features of data deduplication which helps the reader to understand the design issues and challenges in this field.


2019 ◽  
Vol 30 (04) ◽  
pp. 551-570 ◽  
Author(s):  
Wenjuan Meng ◽  
Jianhua Ge ◽  
Tao Jiang

A cloud storage system which incorporates the deletion and deduplication functionalities will have both security and efficiency advantages over exiting solutions which provide only one of them. However, the security models of secure data deletion and data deduplication functionalities are not compatible with each other, which will cause security and efficiency vulnerability under coercive adversaries. To solve these security and efficiency challenges, we define and construct a scheme, whose security relies on the proper erasure of keys in the wrapped key tree and periodical update of the deduplication encryption keys. Moreover, we enhance the efficiency of the proposed scheme by introducing incremental data update, where only the changed part is encrypted/decrypted and uploaded/downloaded in data updating. Further security analysis shows that the proposed scheme is secure against coercive attack. Finally, the practical implementation shows that our scheme is performance efficient in computation, storage and communication for both the cloud storage server and users.


IJARCCE ◽  
2017 ◽  
Vol 6 (4) ◽  
pp. 316-323
Author(s):  
Bhos Komal ◽  
Ingale Karuna ◽  
Hattikatti Susmita ◽  
Jadhav Sachin ◽  
Mirajkar SS ◽  
...  

2018 ◽  
Vol 7 (2.8) ◽  
pp. 13
Author(s):  
B Tirapathi Reddy ◽  
M V. P. Chandra Sekhara Rao

Storing data in cloud has become a necessity as users are accumulating abundant data every day and they are running out of physical storage devices. But majority of the data in the cloud storage is redundant. Data deduplication using convergent key encryption has been the mechanism popularly used to eliminate redundant data items in the cloud storage. Convergent key encryption suffers from various drawbacks. For instance, if data items are deduplicated based on convergent key, any unauthorized user can compromise the cloud storage by simply having a guessed hash of the file. So, ensuring the ownership of the data items is essential to protect the data items. As cukoo filter offers the minimum false positive rate, with minimal space overhead our mechanism has provided the proof of ownership.


Author(s):  
Sumit Kumar Mahana ◽  
Rajesh Kumar Aggarwal

In the present digital scenario, data is of prime significance for individuals and moreover for organizations. With the passage of time, data content being produced increases exponentially, which poses a serious concern as the huge amount of redundant data contents stored on the cloud employs a severe load on the cloud storage systems itself which cannot be accepted. Therefore, a storage optimization strategy is a fundamental prerequisite to cloud storage systems. Data deduplication is a storage optimization strategy that is used for deleting identical copies of redundant data, optimizing bandwidth, improves utilization of storage space, and hence, minimizes storage cost. To guarantee the security parameter, the data which is stored on the cloud must be in an encrypted form to ensure the security of the stored data. Consequently, executing deduplication safely over the encrypted information in the cloud seems to be a challenging job. This chapter discusses various existing data deduplication techniques with a notion of securing the data on the cloud that addresses this challenge.


Author(s):  
Jan Stanek ◽  
Alessandro Sorniotti ◽  
Elli Androulaki ◽  
Lukas Kencl

2016 ◽  
Vol 62 ◽  
pp. 193-212 ◽  
Author(s):  
Rui Jiang ◽  
Xianglong Wu ◽  
Bharat Bhargava

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