scholarly journals Encryption Technique to Optimize Information Leakage in Multi Cloud Storage Services

2019 ◽  
Vol 8 (6S) ◽  
pp. 1078-1081
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Information Leakage ◽  
Considerable Degree ◽  
Unauthorized Access ◽  
Crucial Information ◽  
Degree Of Control ◽  
Multiple Clouds ◽  
Cloud Storage Services ◽  
Multi Cloud

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

CloudS: A Multi-cloud Storage System with Multi-level Security

2015 ◽  
pp. 703-716 ◽  
Author(s):  
Lu Shen ◽  
Shifang Feng ◽  
Jinjin Sun ◽  
Zhongwei Li ◽  
Gang Wang ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Multi Level ◽  
Multi Cloud

scholarly journals Performance and Time Improvement of LT Codes-based Cloud Storage

2021 ◽  
Author(s):  
Nastaran Chakani ◽  
Seyed Masoud Mirrezaei ◽  
Ghosheh Abed Hodtani
Keyword(s):  
Degree Distribution ◽  
Cloud Storage ◽  
Storage System ◽  
Data Retrieval ◽  
Storage Space ◽  
Improve Performance ◽  
Lt Codes ◽  
Storage Performance ◽  
Decoding Efficiency ◽  
Cloud Storage Services

Abstract Outsourcing data on the cloud storage services has already attracted great attention due to prospect of rapid data growth and storing efficiencies for customers. The coding-based cloud storage approach can offer more reliable and faster solution with less storage space in comparison with replication-based cloud storage. LT codes as a famous member of rateless codes family can improve performance of storage systems utilizing good degree distributions. Since degree distribution plays key role in LT codes performance, recently introduced Poisson Robust Soliton Distribution (PRSD) and Combined Poisson Robust Soliton Distribution (CPRSD) motivate us to investigate LT codes-based cloud storage system. So, we exploit LT codes with new degree distributions in order to provide lower average degree and higher decoding efficiency, specifically when receiving fewer encoding symbols, comparing with popular degree distribution, Robust Soliton Distribution (RSD). In this paper, we show that proposed cloud storage outperforms traditional ones in terms of storage space and robustness encountering unavailability of encoding symbols, due to compatible properties of PRSD and CPRSD with cloud storage essence. Furthermore, modified decoding process based on required encoding symbols behavior is presented to reduce data retrieval time. Numerical results confirm improvement of cloud storage performance.

One Cloud: A Secure and Anonymous Multi-Cloud Oblivious Storage Architecture

2014 ◽  
Vol 556-562 ◽  
pp. 5591-5596
Author(s):  
Yi Jie Fan ◽  
Zhen Qiao ◽  
Ming Zhong Xiao
Keyword(s):  
Real World ◽  
Data Security ◽  
Cloud Storage ◽  
Proof Of Concept ◽  
Oblivious Ram ◽  
Oblivious Storage ◽  
Access Patterns ◽  
Key Techniques ◽  
Cloud Storage Services ◽  
Multi Cloud

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.

scholarly journals CloudS: A Multi-Cloud Storage System with Multi-Level Security

2016 ◽  
Vol E99.D (8) ◽  
pp. 2036-2043 ◽  
Author(s):  
Lu SHEN ◽  
Shifang FENG ◽  
Jinjin SUN ◽  
Zhongwei LI ◽  
Ming SU ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Multi Level ◽  
Multi Cloud

scholarly journals SafeDrive: A Reliable and Secure Distributed Cloud Storage

2020 ◽  
Author(s):  
Watheq Ahmad Mansour ◽  
Qutaibah M. Malluhi
Keyword(s):  
Service Provider ◽  
Cloud Storage ◽  
Distributed Storage ◽  
Storage System ◽  
Multiple Clouds ◽  
Distributed Cloud

SafeDrive is an efficient, reliable, and secure multi-cloudfile storage system that keeps data safe and accessible even if you do not fully trust the service provider, whose systems can be compromised or become unavailable. SafeDrive relies on distributed storage on multiple clouds and employs fast techniques for tolerating multiple service outages. Data remain seamlessly accessible as long as m-out-of-n clouds are available. With SafeDrive, data and access credentials never exist in an unencrypted form outside the client’s machine.

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