scholarly journals Protection Aware User Identity and Data Storage (PAUIDS) Scheme for Management of User Identification in Cloud

2021 ◽  
Vol 11 (1) ◽  
pp. 51-56
Author(s):  
R. Rajan ◽  
◽  
Dr. C. Sunitha Ram ◽  
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Significant Feature ◽  
Sensitive Information ◽  
User Identification ◽  
Protection Measures ◽  
System A ◽  
Efficient Data ◽  
Cloud Environments

Cloud computing the technology which have the capability of modifying the method computing strongly, and storage resources will be accessed shortly. User Identification is an entity to detect the user who using the system or website. In information technology the protection of information consistently become a major issue to handle. The data might place in various locations in the world since it become particularly serious. The two main factors regarding cloud technology are information protection and security. The cloud operators can easily reach the sensitive information that affects the data security and protection measures. Therefore, this research protocol mainly focuses on secure data storage that always been a significant feature of quality of service. To guarantee the ‘rightness of users’ information in cloud storage system a Protection Aware User Identity and Data Storage (PAUIDS) algorithm is proposed that separates the document and independently stores the user information in the cloud storage servers. The proposed algorithm reduces the encryption and decryption time in a cloud storage system and providing secure and efficient data storage in cloud environments.

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.

Research of Cloud Storage and Improved Distributed Strategy of Data Storage

2014 ◽  
Vol 496-500 ◽  
pp. 1812-1816 ◽  
Author(s):  
Hong Xia Mao
Keyword(s):  
Load Balancing ◽  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Utilization Rate ◽  
Consistent Hashing ◽  
Storage Node ◽  
Load Rate ◽  
Hashing Algorithm ◽  
System Prototype

In this paper, an extensible system prototype of cloud storage is designed. Considering the load balance of cloud storage system, an improved data storage strategy based on consistent hashing algorithm is proposed in this paper. The strategy adopts virtual nodes to storage data and real–time monitoring of load rate of each storage node to adjust load balancing of the whole storage system. In the improved strategy, the priority is introduced into the storage system to rapidly improve the utilization rate of the new storage nodes. The strategy can effectively optimize the performance of the whole storage system, and improve the overall effect of the load balancing.

scholarly journals Secure Content De-Duplication Utilizing Efficient Content Discovery and Preserving De-Duplication (Ecdpd)

2019 ◽  
Vol 8 (12S) ◽  
pp. 986-990
Keyword(s):  
Access Control ◽  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Data Access ◽  
Data File ◽  
Data Deduplication ◽  
Efficient Technology ◽  
Data Access Control ◽  
Content Discovery

Cloud computing, an efficient technology that utilizes huge amount of data file storage with security. However, the content owner does not controlling data access for unauthorized clients and does not control data storage and usage of data. Some previous approaches data access control to help data de-duplication concurrently for cloud storage system. Encrypted data for cloud storage is not effectively handled by current industrial de-duplication solutions. The deduplication is unguarded from brute-force attacks and fails in supporting control of data access .An efficient data confining technique that eliminates redundant data’s multiple copies which is commonly used is Data-Deduplication. It reduces the space needed to store these data and thus bandwidth is saved. An efficient content discovery and preserving De-duplication (ECDPD) algorithm that detects client file range and block range of de-duplication in storing data files in the cloud storage system was proposed to overpower the above problems.Data access control is supported by ECDPD actively. Based on Experimental evaluations, proposed ECDPD method reduces 3.802 milliseconds of DUT (Data Uploading Time) and 3.318 milliseconds of DDT (Data Downloading Time) compared than existing approaches

Blockchain Based Sensitive Attribute Storage and Access Monitoring in Banking System

2020 ◽  
Vol 10 (2) ◽  
pp. 77-92 ◽  
Author(s):  
M. Sumathi ◽  
S. Sangeetha
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Banking System ◽  
Cloud Services ◽  
Financial Information ◽  
Separate Group ◽  
Sensitive Information ◽  
Security Risks ◽  
Sensitive Attribute ◽  
Access Information

In earlier banking systems, the data owners were unable to access or update their financial information. Nowadays, user financial information is stored in Cloud storage instead of traditional storage, but security risks are high in financial sectors. Sometimes, Cloud services providers and public auditors modify the user sensitive attribute values. Hence, the decentralized storage system is required for providing better security and integrity of user sensitive attribute values. Blockchain is a decentralized technology for providing tamper-proof storage for sensitive attribute values. Hence, the account holder information is segregated as sensitive and non-sensitive attributes. Before storing into off-chain mode of blocks, the sensitive attributes are grouped into ‘n' number of groups and encrypted by separate group key. The non-encrypted, non-sensitive attributes are stored in cloud storage. The access information is stored in the on-chain mode of the block for easy monitoring. Hence, the security and integrity of sensitive information are preserved.

Confidential Data Storage Systems for Wearable Platforms

2018 ◽  
pp. 65-83
Author(s):  
Mingzhong Wang ◽  
Don Kerr
Keyword(s):  
Data Storage ◽  
Flash Memory ◽  
Cloud Storage ◽  
Storage Systems ◽  
Storage System ◽  
Security And Privacy ◽  
Storage Solutions ◽  
Confidential Data ◽  
Wearable Products ◽  
Confidentiality Protection

With the features of mobility, reality augmentation, and context sensitivity, wearable devices are widely deployed into various domains. However, the sensitivity of collected data makes security and privacy protection one of the first priority in the advancement of wearable technologies. This chapter provides a study on encryption-based confidentiality protection for data storage systems in wearable platforms. The chapter first conducts a review to storage solutions in consumer wearable products and explores a two-tier, local flash memory and remote cloud storage, storage system in wearable platforms. Then encryption-based confidentiality protection and implementation methods for both flash memory and remote cloud storage are summarized. According to the interaction and integration of these two components, a categorization of confidential storage systems in wearable platforms is proposed. In addition, the benefits and selection criteria for each category are also discussed.

Confidential Data Storage Systems for Wearable Platforms

2016 ◽  
pp. 74-97
Author(s):  
Mingzhong Wang ◽  
Don Kerr
Keyword(s):  
Data Storage ◽  
Flash Memory ◽  
Cloud Storage ◽  
Storage Systems ◽  
Storage System ◽  
Security And Privacy ◽  
Storage Solutions ◽  
Confidential Data ◽  
Wearable Products ◽  
Confidentiality Protection

With the features of mobility, reality augmentation, and context sensitivity, wearable devices are widely deployed into various domains. However, the sensitivity of collected data makes security and privacy protection one of the first priority in the advancement of wearable technologies. This chapter provides a study on encryption-based confidentiality protection for data storage systems in wearable platforms. The chapter first conducts a review to storage solutions in consumer wearable products and explores a two-tier, local flash memory and remote cloud storage, storage system in wearable platforms. Then encryption-based confidentiality protection and implementation methods for both flash memory and remote cloud storage are summarized. According to the interaction and integration of these two components, a categorization of confidential storage systems in wearable platforms is proposed. In addition, the benefits and selection criteria for each category are also discussed.

Research and Design on Intranet Security File System

2012 ◽  
Vol 433-440 ◽  
pp. 4704-4709
Author(s):  
Yan Shen Chen ◽  
De Zhi Han
Keyword(s):  
Data Storage ◽  
Data Security ◽  
High Performance ◽  
File System ◽  
Storage System ◽  
Data Encryption ◽  
Security Issue ◽  
Storage And Retrieval ◽  
System A ◽  
Secure File System

To solve the data security issue in intranet massive storage system, a Multi-Protocol Secure File System ( for short MPSFS) is designed. Firstly, the MPSFS supports the access of users with different protocols, and provides the unified access interface, so can achieve high performance in data storage and retrieval; secondly, with the help of other technologies such as identity authentication, access control and data encryption, the MPSFS can effectively ensure the data security in the intranet storage system. By the experiment, the MPSFS can provide good security and scalability for intranet massive storage system, and has less effect to the network I/O performance.

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.

Internal Cloud Storage Architecture Implemented in Crop Germplasm Resources Data

2013 ◽  
Vol 748 ◽  
pp. 1059-1064
Author(s):  
Hai Ping Si ◽  
Yang Qiao
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Germplasm Resources ◽  
Rate Data ◽  
Access Methods ◽  
Storage Technology ◽  
The Past ◽  
Data Storage System ◽  
Crop Germplasm

At the rate data related to crop germplasm resources is growing rapidly, it's not surprising that the study of new storage technology is also growing in popularity. Cloud storage, due to its own advantages including cost, frequency of access, protection, and availability, has been one of the hot buzzwords of the past couple of years. Based on the analysis of the definition and characters of cloud storage, and combined with the characteristics of crop germplasm resources data and databases, this paper discussed the internal cloud storage architecture for crop germplasm resources data, detailed the level of structure diagram, access methods, storage scalability and availability. The study on the new storage architecture gives the model for building easy extension, management and safety of crop germplasm resources data storage system.

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