scholarly journals Enhancing Distributed Data Storage Security for Cloud Computing using AES algorithm

IJARCCE ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 752-755 ◽  
Author(s):  
Vasant S. Kakade ◽  
Akshay Kirve ◽  
Ankush Bhoir ◽  
Sagar Kadam
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Distributed Data ◽  
Distributed Data Storage ◽  
Storage Security ◽  
Aes Algorithm

scholarly journals Towards Distributed Data Management in Fog Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Vasileios Moysiadis ◽  
Panagiotis Sarigiannidis ◽  
Ioannis Moscholios
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Large Scale ◽  
Fog Computing ◽  
Cloud Services ◽  
Smart Devices ◽  
Distributed Data ◽  
Storage Allocation ◽  
Huge Amount ◽  
Distributed Data Storage

In the emerging area of the Internet of Things (IoT), the exponential growth of the number of smart devices leads to a growing need for efficient data storage mechanisms. Cloud Computing was an efficient solution so far to store and manipulate such huge amount of data. However, in the next years it is expected that Cloud Computing will be unable to handle the huge amount of the IoT devices efficiently due to bandwidth limitations. An arising technology which promises to overwhelm many drawbacks in large-scale networks in IoT is Fog Computing. Fog Computing provides high-quality Cloud services in the physical proximity of mobile users. Computational power and storage capacity could be offered from the Fog, with low latency and high bandwidth. This survey discusses the main features of Fog Computing, introduces representative simulators and tools, highlights the benefits of Fog Computing in line with the applications of large-scale IoT networks, and identifies various aspects of issues we may encounter when designing and implementing social IoT systems in the context of the Fog Computing paradigm. The rationale behind this work lies in the data storage discussion which is performed by taking into account the importance of storage capabilities in modern Fog Computing systems. In addition, we provide a comprehensive comparison among previously developed distributed data storage systems which consist of a promising solution for data storage allocation in Fog Computing.

Research on Digital Library Based on Cloud Computing

2014 ◽  
Vol 1078 ◽  
pp. 448-451
Author(s):  
Xiao Wen Chen
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Digital Library ◽  
Digital Libraries ◽  
Information Service ◽  
Information Services ◽  
Cloud Services ◽  
Distributed Data ◽  
Distributed Data Storage ◽  
Massive Data Processing

In recent years, the development of digital libraries also encountered a lot of problems, the cloud computing was applied to digital libraries can solve the problem of information on demand and optimal scheduling of resources and transaction processing capabilities effectively, So as to achieve the purpose of improving the efficiency of resource of digital library and information security. From the digital library of cloud computing and personalized information services status in this paper, the study and found a problem about the digital library information services at this stage, let the virtualization cloud computing, the key technology of distributed data storage, massive data processing and cloud platforms used in building digital library of personalized information service with cloud platform, and deployment cloud services on the platform.

Secure Distributed Data Storage in Cloud Computing

2011 ◽  
pp. 221-248 ◽  
Author(s):  
Yu Chen ◽  
Wei-Shinn Ku ◽  
Jun Feng ◽  
Pu Liu ◽  
Zhou Su
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Distributed Data ◽  
Distributed Data Storage

scholarly journals A Medical Data Privacy Protection Scheme Based on Blockchain and Cloud Computing

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Liang Huang ◽  
Hyung-Hyo Lee
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Data Storage ◽  
Privacy Protection ◽  
Data Privacy ◽  
Medical Data ◽  
Distributed Data ◽  
Distributed Data Storage ◽  
Protection Scheme ◽  
Point To Point

With the features of decentralization and trustlessness and through distributed data storage, point-to-point transmission, and encryption algorithms, blockchain has shed new light on the security and protection of medical data, and it can resolve the contradiction between data sharing and privacy protection with proper security strategies. In this paper, we integrate the strengths of both blockchain and cloud computing and build the privacy protection scheme for medical data based on blockchain and cloud computing. This scheme introduces cloud computing and provides services to blockchain nodes with cloud server computing; meanwhile, it collects, analyzes, processes, and maintains medical data in the identity authentication interface and solves the insufficient computing abilities of some nodes in blockchain so as to verify the authenticity and reliability of data. The simulation experiment proves that the proposed scheme is effective. It can achieve the secure protection and integrity verification of medical data and address the problems of high computing complexity, data sharing, and privacy protection.

scholarly journals Efficient two-stage cryptography scheme for secure distributed data storage in cloud computing

2020 ◽  
Vol 10 (3) ◽  
pp. 3295
Author(s):  
Rabab F. Abdel-Kader ◽  
Samar H. El-sherif ◽  
Rawya Y. Rizk
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
User Authentication ◽  
Security Level ◽  
Distributed Data ◽  
Two Stage ◽  
Distributed Data Storage ◽  
Additional Processing ◽  
One Time Password ◽  
Parameter Values

Cloud computing environment requires secure access for data from the cloud server, small execution time, and low time complexity. Existing traditional cryptography algorithms are not suitable for cloud storage. In this paper, an efficient two-stage cryptography scheme is proposed to access and store data into cloud safely. It comprises both user authentication and encryption processes. First, a two-factor authentication scheme one-time password is proposed. It overcomes the weaknesses in the existing authentication schemes. The proposed authentication method does not require specific extra hardware or additional processing time to identity the user. Second, the plaintext is divided into two parts which are encrypted separately using a unique key for each. This division increases the security of the proposed scheme and in addition decreases the encryption time. The keys are generated using logistic chaos model theory. Chaos equation generates different values of keys which are very sensitive to initial condition and control parameter values entered by the user. This scheme achieves high-security level by introducing different security processes with different stages. The simulation results demonstrate that the proposed scheme reduces the size of the ciphertext and both encryption and decryption times than competing schemes without adding any complexity.

Activity of public control entities and development of distributed computing and distributed data storage systems

2018 ◽  
pp. 14-22
Author(s):  
D. V. Gribanov
Keyword(s):  
Distributed Computing ◽  
Data Storage ◽  
Storage Systems ◽  
Legal Regulation ◽  
Distributed Data ◽  
Distributed Data Storage ◽  
Public Control ◽  
Blockchain Technology ◽  
Legal Method ◽  
Digital Assets

Introduction. This article is devoted to legal regulation of digital assets turnover, utilization possibilities of distributed computing and distributed data storage systems in activities of public authorities and entities of public control. The author notes that some national and foreign scientists who study a “blockchain” technology (distributed computing and distributed data storage systems) emphasize its usefulness in different activities. Data validation procedure of digital transactions, legal regulation of creation, issuance and turnover of digital assets need further attention.Materials and methods. The research is based on common scientific (analysis, analogy, comparing) and particular methods of cognition of legal phenomena and processes (a method of interpretation of legal rules, a technical legal method, a formal legal method and a formal logical one).Results of the study. The author conducted an analysis which resulted in finding some advantages of the use of the “blockchain” technology in the sphere of public control which are as follows: a particular validation system; data that once were entered in the system of distributed data storage cannot be erased or forged; absolute transparency of succession of actions while exercising governing powers; automatic repeat of recurring actions. The need of fivefold validation of exercising governing powers is substantiated. The author stresses that the fivefold validation shall ensure complex control over exercising of powers by the civil society, the entities of public control and the Russian Federation as a federal state holding sovereignty over its territory. The author has also conducted a brief analysis of judicial decisions concerning digital transactions.Discussion and conclusion. The use of the distributed data storage system makes it easier to exercise control due to the decrease of risks of forge, replacement or termination of data. The author suggests defining digital transaction not only as some actions with digital assets, but also as actions toward modification and addition of information about legal facts with a purpose of its establishment in the systems of distributed data storage. The author suggests using the systems of distributed data storage for independent validation of information about activities of the bodies of state authority. In the author’s opinion, application of the “blockchain” technology may result not only in the increase of efficiency of public control, but also in the creation of a new form of public control – automatic control. It is concluded there is no legislation basis for regulation of legal relations concerning distributed data storage today.

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