scholarly journals A Study of Practical Proxy Reencryption with a Keyword Search Scheme considering Cloud Storage Structure

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Sun-Ho Lee ◽  
Im-Yeong Lee
Keyword(s):  
Cloud Storage ◽  
Keyword Search ◽  
Storage Systems ◽  
Searchable Encryption ◽  
Digital Information ◽  
Storage Medium ◽  
Data Outsourcing ◽  
Collusion Attacks ◽  
Storage Limit ◽  
Local Storage

Data outsourcing services have emerged with the increasing use of digital information. They can be used to store data from various devices via networks that are easy to access. Unlike existing removable storage systems, storage outsourcing is available to many users because it has no storage limit and does not require a local storage medium. However, the reliability of storage outsourcing has become an important topic because many users employ it to store large volumes of data. To protect against unethical administrators and attackers, a variety of cryptography systems are used, such as searchable encryption and proxy reencryption. However, existing searchable encryption technology is inconvenient for use in storage outsourcing environments where users upload their data to be shared with others as necessary. In addition, some existing schemes are vulnerable to collusion attacks and have computing cost inefficiencies. In this paper, we analyze existing proxy re-encryption with keyword search.

A Global Survey on Data Deduplication

2018 ◽  
Vol 10 (4) ◽  
pp. 43-66 ◽  
Author(s):  
Shubhanshi Singhal ◽  
Pooja Sharma ◽  
Rajesh Kumar Aggarwal ◽  
Vishal Passricha
Keyword(s):  
Data Reduction ◽  
Cloud Storage ◽  
Storage Systems ◽  
Distributed Storage ◽  
Digital Data ◽  
Data Deduplication ◽  
Computationally Efficient ◽  
Redundant Data ◽  
Single Instance ◽  
Local Storage

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.

scholarly journals SLA-Aware Multi-Criteria Data Placement in Cloud Storage Systems

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
M. Maghsoudloo ◽  
A. Rahdari ◽  
N. Khoshavi
Keyword(s):  
Cloud Storage ◽  
Storage Systems ◽  
Data Placement

Secure Password-Protected Encryption Key for Deduplicated Cloud Storage Systems

2021 ◽  
pp. 1-1
Author(s):  
Yuan Zhang ◽  
Chunxiang Xu ◽  
Nan Cheng ◽  
Xuemin Sherman Shen
Keyword(s):  
Cloud Storage ◽  
Storage Systems

Reasoning about Cloud Storage Systems

2018 ◽  
Author(s):  
Hanpin Wang ◽  
Zhao Jin ◽  
Lei Zhang ◽  
Yuxin Jing ◽  
Yuxin Jing ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Storage Systems

scholarly journals Co-Check: Collaborative Outsourced Data Auditing in Multicloud Environment

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Jian Mao ◽  
Wenqian Tian ◽  
Yan Zhang ◽  
Jian Cui ◽  
Hanjun Ma ◽  
...  
Keyword(s):  
Communication Networks ◽  
Resource Sharing ◽  
Cloud Storage ◽  
Low Cost ◽  
Data Outsourcing ◽  
Daily Lives ◽  
Outsourced Data ◽  
Low Performance ◽  
Increasing Demand ◽  
Data Auditing

With the increasing demand for ubiquitous connectivity, wireless technology has significantly improved our daily lives. Meanwhile, together with cloud-computing technology (e.g., cloud storage services and big data processing), new wireless networking technology becomes the foundation infrastructure of emerging communication networks. Particularly, cloud storage has been widely used in services, such as data outsourcing and resource sharing, among the heterogeneous wireless environments because of its convenience, low cost, and flexibility. However, users/clients lose the physical control of their data after outsourcing. Consequently, ensuring the integrity of the outsourced data becomes an important security requirement of cloud storage applications. In this paper, we present Co-Check, a collaborative multicloud data integrity audition scheme, which is based on BLS (Boneh-Lynn-Shacham) signature and homomorphic tags. According to the proposed scheme, clients can audit their outsourced data in a one-round challenge-response interaction with low performance overhead. Our scheme also supports dynamic data maintenance. The theoretical analysis and experiment results illustrate that our scheme is provably secure and efficient.

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