MWC: an efficient and secure multi-cloud storage approach to leverage augmentation of multi-cloud storage services on mobile devices using fog computing

2018 ◽  
Vol 75 (6) ◽  
pp. 3264-3287 ◽  
Author(s):  
Rajeev Kumar Bedi ◽  
Jaswinder Singh ◽  
Sunil Kumar Gupta
2016 ◽  
Vol 8 ◽  
pp. 279-282 ◽  
Author(s):  
Rajeev Kumar Bedi ◽  
Jaswinder Singh ◽  
Sunil Kumar Gupta

2014 ◽  
Vol 556-562 ◽  
pp. 5591-5596
Author(s):  
Yi Jie Fan ◽  
Zhen Qiao ◽  
Ming Zhong Xiao

We present a cross-cloud storage architecture that protects both user’s data and privacy from cloud providers or potential adversaries by leveraging the concept of Oblivious RAM on a logical layer. Our architecture allows users to conceal reading/writing operations and access sequences from clouds in order to prevent the leakage of access patterns, which may be a threat to data security. In addition, an anonymity preserving mechanism applied in our architecture makes it difficult to track users' data or confirm users' identities, which can effectively protect users' privacy. One Cloud, the proof-of-concept prototype of our architecture integrates four major cloud storage services and implements all key techniques we proposed in our architecture. We deploy it in a real-world network environment to analyze and evaluate the performance and the scalability of our architecture.


2018 ◽  
Vol 12 (3) ◽  
pp. 216
Author(s):  
Rajeev Kumar Bedi ◽  
Jaswinder Singh ◽  
Sunil Kumar Gupta

Author(s):  
Rajeev Kumar Bedi ◽  
Jaswinder Singh ◽  
Sunil Kumar Gupta

Regardless of high embracing rate among users, Multi Cloud Storage Systems for mobile devices still have many limitations. From recent studies, it is clear that multi cloud storage systems work well for desktop PCs where there is no resource limitation but when accessed on mobile devices, these systems consumed a lot of resources of the mobile device. In this article, the authors reviewed three multi cloud storage systems for mobile devices ES File Explorer, Mult Cloud, Otixo and evaluate their performance on the basis of parameters Battery Consumption, CPU Usage, and Data Usage on Jio-Fi network using two mobile devices Micromax Canvas E352 and Redmi Note 4. Then, the authors propose an approach for multi cloud storage for mobile devices that will remove the limitations of previously discussed systems.


Multicloud is one such aspect which is considered as the vision of the future. It includes distribution of data for the user automatically by means of cloud storage providers (CSPs) which in turn provides a considerable degree of control over information leakage. Due to the process of unplanned distribution of data chunks will result in disposing the crucial information while using multiple clouds. A storage system named Storesim is introduced in Multicloud to store syntactically relevant data on the assigned cloud, thereby limiting the intensity of leakage of information across those clouds. During this survey it has been identified that few CSP’s of some Multicloud services got compromised under coercion. In this paper, we made use of the Ultramodern Encryption Standard (UES) into storesim thereby avoiding unauthorized access to the information present in the Multicloud ensuring better level of security to CSP’s implicating reduced information leakage


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