Based on Cloud-Technology Data Storage Security

2014 ◽  
Vol 556-562 ◽  
pp. 6179-6183
Author(s):  
Zhi Gang Chai ◽  
Ming Zhao ◽  
Xiao Yu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
Rapid Development ◽  
Storage System ◽  
Storage Space ◽  
It Industry ◽  
Storage Security ◽  
The Cost ◽  
Space Requirements

With the rapid development of information technology, the extensive use of cloud computing promotes technological change in the IT industry. The use of cloud storage industry is also one solution to the problem of an amount of data storing, which is traditionally large, and unimaginably redundant. The use of cloud computing in the storage system connects the user's data with network clients via the Internet. That is to say, it not only solves a lot of data storage space requirements in request, but also greatly reduces the cost of the storage system. But in the application of cloud storage, there are also many problems to be solved, even to some extent which has hindered the development of cloud storage. Among these issues, the most concerning one is cloud storage security. The following passages discuss the problem and propose a solution to it.

High-Throughput Encryption for Cloud Computing Storage System

2015 ◽  
pp. 2274-2287
Author(s):  
Yaser Jararweh ◽  
Ola Al-Sharqawi ◽  
Nawaf Abdulla ◽  
Lo'ai Tawalbeh ◽  
Mohammad Alhammouri
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
High Performance ◽  
Storage System ◽  
Massive Data ◽  
Efficient Manner ◽  
Storage Security ◽  
Cloud Data ◽  
Cloud Data Storage

In recent years Cloud computing has become the infrastructure which small and medium-sized businesses are increasingly adopting for their IT and computational needs. It provides a platform for high performance and throughput oriented computing, and massive data storage. Subsequently, novel tools and technologies are needed to handle this new infrastructure. One of the biggest challenges in this evolving field is Cloud storage security, and accordingly we propose new optimized techniques based on encryption process to achieve better storage system security. This paper proposes a symmetric block algorithm (CHiS-256) to encrypt Cloud data in efficient manner. Also, this paper presents a novel partially encrypted metadata-based data storage. The (CHiS-256) cipher is implemented as part of the Cloud data storage service to offer a secure, high-performance and throughput Cloud storage system. The results of our proposed algorithm are promising and show the methods to be advantageous in Cloud massive data storage and access applications.

scholarly journals Survey on securing data storage in the cloud

2014 ◽  
Vol 3 ◽  
Author(s):  
Chun-Ting Huang ◽  
Lei Huang ◽  
Zhongyuan Qin ◽  
Hang Yuan ◽  
Lan Zhou ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Security And Privacy ◽  
Storage Security ◽  
Research Activities ◽  
Security Problem ◽  
Key Issues ◽  
Cloud Storage Services

Cloud Computing has become a well-known primitive nowadays; many researchers and companies are embracing this fascinating technology with feverish haste. In the meantime, security and privacy challenges are brought forward while the number of cloud storage user increases expeditiously. In this work, we conduct an in-depth survey on recent research activities of cloud storage security in association with cloud computing. After an overview of the cloud storage system and its security problem, we focus on the key security requirement triad, i.e., data integrity, data confidentiality, and availability. For each of the three security objectives, we discuss the new unique challenges faced by the cloud storage services, summarize key issues discussed in the current literature, examine, and compare the existing and emerging approaches proposed to meet those new challenges, and point out possible extensions and futuristic research opportunities. The goal of our paper is to provide a state-of-the-art knowledge to new researchers who would like to join this exciting new field.

Data Storage Scheme of Sensor Network Based on HDFS

2014 ◽  
Vol 926-930 ◽  
pp. 2462-2465 ◽  
Author(s):  
Hui Xiang Zhou ◽  
Qiao Yan Wen
Keyword(s):  
Sensor Network ◽  
Data Storage ◽  
Cloud Storage ◽  
High Reliability ◽  
Storage System ◽  
Security Analysis ◽  
Storage Security ◽  
Mass Data ◽  
Storage Scheme ◽  
Multiple Copies

In order to solve the problem of growing massive of data in sensor network, we propose a new scheme of data storage for sensor network based on HDFS which is a cloud-based storage platform, it effectively alleviate the pressure of mass data storage on sensor network, and improved the scalability of storage system and part of the enhanced the data storage security on sensor network. And this scheme is based on cloud storage platform, storage the data which collected by sensors to each data node using a distributed architecture solution, and keep multiple copies of data in order to maintain its high reliability of data. As reducing the pressure of data storage, but also protects the security of stored data as shown by security analysis.

scholarly journals A Cuckoo Search Based Heuristic for Replicating IoT Data in Cloud Edge System

2020 ◽  
Vol 8 (4S5) ◽  
pp. 227-235
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Radio Frequency Identification ◽  
Cloud Storage ◽  
Large Scale ◽  
Rapid Development ◽  
Storage System ◽  
Cuckoo Search ◽  
Data Volume ◽  
High Degree

The rapid development in information technology has rendered an increase in the data volume at a speed which is surprising. In recent times, cloud computing and the Internet of Things (IoT) have become the hottest among the topics in the industry of information technology. There are many advantages to Cloud computing such as scalability, low price, and large scale and the primary technique of the IoTs like the Radio-Frequency Identification (RFID) have been applied to a large scale. In the recent times, the users of cloud storage have been increasing to a great extent and the reason behind this was the cloud storage system bringing down the issues in maintenance and also has a low amount of storage when compared to other methods. This system provides a high degree of reliability and availability where redundancy is introduced to the systems. In the replicated systems, objects get to be copied many times and every copy resides in a different location found in distributed computing. So, replication of data has been posing some threat to the cloud storage for users and also for the providers since it has been a major challenge providing efficient storage of data. So, the work has been analysing different strategies of replication of data and have pointed out several issues that are affected by this. For the purpose of this work, replication of data has been presented by employing the Cuckoo Search (CS) and the Greedy Search. The research is proceeding in a direction to reduce the replications without any adverse effect on the reliability and the availability of data.

scholarly journals Data Storage, Security And Techniques In Cloud Computing

2020 ◽  
Author(s):  
Dinesh Arpitha R ◽  
Sai Shobha R
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Data Access ◽  
Cloud Services ◽  
Security Risk ◽  
Storage Security ◽  
The Cost ◽  
User Knowledge

Cloud computing is the computing technology which provides resources like software, hardware, services over the internet. Cloud computing provides computation, software, data access, and storage services that do not require end- user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing enables the user and organizations to store their data remotely and enjoy good quality applications on the demand without having any burden associated with local hardware resources and software managements but it possesses a new security risk towards correctness of data stored at cloud. The data storage in the cloud has been a promising issue in these days. This is due to the fact that the users are storing their valuable data and information in the cloud. The users should trust the cloud service providers to provide security for their data. Cloud storage services avoid the cost storage services avoids the cost expensive on software, personnel maintains and provides better performance less storage cost and scalability, cloud services through internet which increase their exposure to storage security vulnerabilities however security is one of the major drawbacks that preventing large organizations to enter into cloud computing environment. This work surveyed on several storage techniques and this advantage and its drawbacks.

scholarly journals Diverse Mobile System for Location-Based Mobile Data

2018 ◽  
Vol 2018 ◽  
pp. 1-17
Author(s):  
Qing Liao ◽  
Haoyu Tan ◽  
Wuman Luo ◽  
Ye Ding
Keyword(s):  
Data Storage ◽  
Storage System ◽  
Location Based Services ◽  
Storage Space ◽  
Processing Efficiency ◽  
Mobile Data ◽  
Data Encoding ◽  
Research Fields ◽  
Trade Offs ◽  
The Cost

The value of large amount of location-based mobile data has received wide attention in many research fields including human behavior analysis, urban transportation planning, and various location-based services. Nowadays, both scientific and industrial communities are encouraged to collect as much location-based mobile data as possible, which brings two challenges: (1) how to efficiently process the queries of big location-based mobile data and (2) how to reduce the cost of storage services, because it is too expensive to store several exact data replicas for fault-tolerance. So far, several dedicated storage systems have been proposed to address these issues. However, they do not work well when the ranges of queries vary widely. In this work, we design a storage system based on diverse replica scheme which not only can improve the query processing efficiency but also can reduce the cost of storage space. To the best of our knowledge, this is the first work to investigate the data storage and processing in the context of big location-based mobile data. Specifically, we conduct in-depth theoretical and empirical analysis of the trade-offs between different spatial-temporal partitioning and data encoding schemes. Moreover, we propose an effective approach to select an appropriate set of diverse replicas, which is optimized for the expected query loads while conforming to the given storage space budget. The experiment results show that using diverse replicas can significantly improve the overall query performance and the proposed algorithms for the replica selection problem are both effective and efficient.

Data Storage Technology and its Development Based on Cloud Computing

2013 ◽  
Vol 756-759 ◽  
pp. 1275-1279
Author(s):  
Lin Na Huang ◽  
Feng Hua Liu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
High Performance ◽  
File System ◽  
Storage System ◽  
Distributed File System ◽  
Cloud Data ◽  
Storage Technology ◽  
Cloud Data Storage

Cloud storage of high performance is the basic condition for cloud computing. This article introduces the concept and advantage of cloud storage, discusses the infrastructure of cloud storage system as well as the architecture of cloud data storage, researches the details about the design of Distributed File System within cloud data storage, at the same time, puts forward different developing strategies for the enterprises according to the different roles that the enterprises are acting as during the developing process of cloud computing.

scholarly journals Improving the Efficiency of Deduplication Process by Dedicated Hash Table for each Digital Data Type in Cloud Storage System

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 01) ◽  
pp. 288-301
Author(s):  
G. Sujatha ◽  
Dr. Jeberson Retna Raj
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Hash Table ◽  
Cloud Services ◽  
Data Type ◽  
Digital Data ◽  
Storage Space ◽  
Data Deduplication ◽  
Worst Case

Data storage is one of the significant cloud services available to the cloud users. Since the magnitude of information outsourced grows extremely high, there is a need of implementing data deduplication technique in the cloud storage space for efficient utilization. The cloud storage space supports all kind of digital data like text, audio, video and image. In the hash-based deduplication system, cryptographic hash value should be calculated for all data irrespective of its type and stored in the memory for future reference. Using these hash value only, duplicate copies can be identified. The problem in this existing scenario is size of the hash table. To find a duplicate copy, all the hash values should be checked in the worst case irrespective of its data type. At the same time, all kind of digital data does not suit with same structure of hash table. In this study we proposed an approach to have multiple hash tables for different digital data. By having dedicated hash table for each digital data type will improve the searching time of duplicate data.

Research of Distributed Cache Technology Based on Cloud Computing

2013 ◽  
Vol 443 ◽  
pp. 477-481
Author(s):  
Kai Song
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
System Architecture ◽  
Cloud Storage ◽  
Storage System ◽  
Computing Technology ◽  
Computing Architecture ◽  
Architecture Model ◽  
Storage Technology ◽  
Distributed Cache

Cloud storage, data storage means occurring in recent years is based on cloud computing technology. It is the inevitable trend of data storage in the future. The article describes the definition and characteristics of cloud computing and design a generic cloud computing architecture, given its storage technology for cloud computing, cloud storage system architecture model. At last, the paper prospects the tendency of cloud computing and its storage technology.

High-Throughput Encryption for Cloud Computing Storage System

2014 ◽  
Vol 4 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Yaser Jararweh ◽  
Ola Al-Sharqawi ◽  
Nawaf Abdulla ◽  
Lo'ai Tawalbeh ◽  
Mohammad Alhammouri
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
High Performance ◽  
Storage System ◽  
Massive Data ◽  
Efficient Manner ◽  
Cloud Data ◽  
Block Algorithm ◽  
Cloud Data Storage

In recent years Cloud computing has become the infrastructure which small and medium-sized businesses are increasingly adopting for their IT and computational needs. It provides a platform for high performance and throughput oriented computing, and massive data storage. Subsequently, novel tools and technologies are needed to handle this new infrastructure. One of the biggest challenges in this evolving field is Cloud storage security, and accordingly we propose new optimized techniques based on encryption process to achieve better storage system security. This paper proposes a symmetric block algorithm (CHiS-256) to encrypt Cloud data in efficient manner. Also, this paper presents a novel partially encrypted metadata-based data storage. The (CHiS-256) cipher is implemented as part of the Cloud data storage service to offer a secure, high-performance and throughput Cloud storage system. The results of our proposed algorithm are promising and show the methods to be advantageous in Cloud massive data storage and access applications.

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