scholarly journals The Use of Blockchain Technology in Public Sector Entities Management: An Example of Security and Energy Efficiency in Cloud Computing Data Processing

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1873
Author(s):  
Robert Karaszewski ◽  
Paweł Modrzyński ◽  
Joanna Modrzyńska
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Carbon Footprint ◽  
Data Security ◽  
Cost Reduction ◽  
Economic Effects ◽  
Organizational Level ◽  
Electronic Documents ◽  
Blockchain Technology ◽  
Shared Service

Blockchain technology is currently one of the trends considered to have a tremendous future ahead. It ensures data security, data sharing protection and automation development—elements that are of colossal importance in the era of cloud solutions, big data and Internet of Things (IoT) reality. Additionally, blockchain technology allows one to create new programmable ecosystems on an unprecedented scale. The implementation of blockchain technology leads not only to improving the flow of documents and data storage, as is the case with the creation of shared service centers (SSCs), but—as this paper shows—allows one to reduce the carbon footprint when servicing SSCs at a considerably higher organizational level at the same time. The example of an SSC in Elbląg, Poland, proves that cloud solutions enabling electronic documents flow and data storage combined with blockchain technology are tools essential for further SSCs development. Furthermore, such tools allow us not only to obtain economic effects (i.e., cost reduction), but also to achieve positive ecological effects (i.e., carbon footprint reduction).

On Data Security and Encryption Algorithms in Cloud Environment

2014 ◽  
Vol 701-702 ◽  
pp. 1106-1111 ◽  
Author(s):  
Xin Zheng Zhang ◽  
Ya Juan Zhang
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Service Providers ◽  
Cloud Service ◽  
Working Environment ◽  
Cloud Environment ◽  
Cloud Data ◽  
Security Issues ◽  
Encryption Algorithms

As information and processes are migrating to the cloud, Cloud Computing is drastically changing IT professionals’ working environment. Cloud Computing solves many problems of conventional computing. However, the new technology has also created new challenges such as data security, data ownership and trans-code data storage. We discussed about Cloud computing security issues, mechanism, challenges that Cloud service providers and consumers face during Cloud engineering. Based on concerning of security issues and challenges, we proposed several encryption algorithms to make cloud data secure and invulnerable. We made comparisons among DES, AES, RSA and ECC algorithms to find combinatorial optimization solutions, which fit Cloud environment well for making cloud data secure and not to be hacked by attackers.

scholarly journals Blockchain-based Secure Big Data Storage on Cloud

2020 ◽  
Vol 9 (4) ◽  
pp. 37-45
Keyword(s):  
Big Data ◽  
Comparative Analysis ◽  
Data Storage ◽  
Data Security ◽  
Cloud Storage ◽  
Information Technologies ◽  
Mobile Cloud ◽  
Blockchain Technology ◽  
Data Authentication ◽  
Big Data Storage

In the cryptocurrency era, Blockchain is one of the expeditiously growing information technologies that help in providing security to the data. Data tampering and authentication problems generally occur in centralized servers while sharing and storing the data. Blockchain provides the platform for big data and cloud storage in enhancing the security by evading from pernicious users. In this paper, we have discussed the exhaustive description of blockchain and its need, features and applications. Analysis of blockchain is done for different domains such as big data, cloud, internet of things and mobile cloud where the differences V’s are compared with big data and blockchain. SWOT (Strength Weakness Opportunities Threats) analysis is performed to address the merits and limitations in blockchain technology. The survey in aspects of data security, data storage, data sharing and data authentication through blockchain technology is done and the challenges are discussed to overcome the problem that leads in big data and cloud storage. The detailed comparative analysis proves that the blockchain technology overcomes the problems in big data storage and data security in cloud.

scholarly journals Research on Security Architecture in Mobile Cloud Computing to Prevent Adaptive Anomaly Attacks

2019 ◽  
Vol 8 (6S4) ◽  
pp. 942-947
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Data Privacy ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Data Accessibility ◽  
Security Issues ◽  
Wide Range ◽  
Rapid Pace

Cloud Computing is a very viable data storage structure where the users can store and access the data from anywhere. Cloud computing use is increasing at a very rapid pace nowadays. But as cloud allows us data accessibility quite easily data security is a major concern and is an emerging area of study. Other issues related to cloud computing are data privacy and internet dependency. On the other cloud computing also has wide range of benefits over traditional storage and accessibility environment such as scalability, flexibility and resource utilization. We have worked in the area of mobile cloud computing to analyse and solve the problems of anomaly attacks. Our work focuses on preventing the adaptive anomaly attacks and some other security issues of cloud computing

scholarly journals Increasing Security for Cloud Computing By Steganography in Image Edges

2017 ◽  
Vol 27 (4) ◽  
Author(s):  
Hassan Hadi Saleh
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Data Center ◽  
Data Centers ◽  
Data Access ◽  
Good Method ◽  
Color Images ◽  
Image Edges ◽  
Fundamental Objective

The security of data storage in “cloud” is big challenge because the data keep within resources that may be accessed by particular machines. The managing of these data and services may not be high reliable. Therefore, the security of data is highly challenging. To increase the security of data in data center of cloud, we have introduced good method to ensure data security in “cloud computing” by methods of data hiding using color images which is called steganography. The fundamental objective of this paper is to prevent "Data Access” by unauthorized or opponent users. This scheme stores data at data centers within edges of color images and retrieves data from it when it is wanted.

scholarly journals Exploring Security Issues and Solutions in Cloud Computing Services – A Survey

2017 ◽  
Vol 17 (4) ◽  
pp. 3-31 ◽  
Author(s):  
P. Ravi Kumar ◽  
P. Herbert Raj ◽  
P. Jelciana
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Data Security ◽  
Cost Reduction ◽  
Security Issues ◽  
Computing Model ◽  
Detailed Survey ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Insight Into

AbstractCloud computing is emerging as one of the powerful computing technologies in the field of Information Technology due to its flexibility and cost reduction. This paper provides a detailed survey on security issues of the services provided by cloud computing and solutions to mitigate them. The main objective of this paper is to empower a new researcher to figure out the concepts of cloud computing, the services provided by them, and the security issues in the services. It also provides solutions to avoid or mitigate the different security issues which occur in the services provided by cloud computing. Additionally, it provides insight into the cloud computing model proposed by the National Institute of Standards and Technology (NIST), data stages and data security basics in a multi-tenant environment. This paper explores the different security methods proposed by different researchers and analyzes them.

scholarly journals Research on Big data Security privacy Protection based on cloud Computing

2021 ◽  
Vol 2083 (4) ◽  
pp. 042077
Author(s):  
Tongtong Xu ◽  
Lei Shi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Data Security ◽  
Privacy Protection ◽  
Data Privacy ◽  
Cloud Services ◽  
Security Mechanism ◽  
Computing Platform ◽  
Cloud Servers

Abstract Cloud computing is a new way of computing and storage. Users do not need to master professional skills, but can enjoy convenient network services as long as they pay according to their own needs. When we use cloud services, we need to upload data to cloud servers. As the cloud is an open environment, it is easy for attackers to use cloud computing to conduct excessive computational analysis on big data, which is bound to infringe on others’ privacy. In this process, we inevitably face the challenge of data security. How to ensure data privacy security in the cloud environment has become an urgent problem to be solved. This paper studies the big data security privacy protection based on cloud computing platform. This paper starts from two aspects: implicit security mechanism and display security mechanism (encryption mechanism), so as to protect the security privacy of cloud big data platform in data storage and data computing processing.

scholarly journals A Systematic Literature Review Method On AES Algorithm for Data Sharing Encryption On Cloud Computing

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Taufik Hidayat ◽  
Rahutomo Mahardiko
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Data Storage ◽  
Systematic Literature Review ◽  
Data Security ◽  
Data Transfer ◽  
Internet Security ◽  
Advanced Encryption Standard ◽  
Aes Algorithm ◽  
And Storage

Cloud computing is one revolution in information technology (IT) that can share resources, services and data through a network among users. Because users have same rights on the network to transfer data, data are vulnerable to be attacked by unauthorized person. Lately, data security in a system only concentrates on data storage on cloud by utilizing internet security, but a little concentration is found during data transfer. By considering security as a serious problem, an encryption-based proposed system is presented to secure during data transfer. Authors propose an approach to boost system security during data transfer in order to prevent data theft by unauthorized person. To prevent an attack by unauthorized person, Advanced Encryption Standard (AES) will be proposed to secure data transfer and storage in cloud computing. For better future, authors will propose Systematic Literature Review (SLR) to generate suggestions and opportunities in AES cloud computing.

scholarly journals Enhanced Data Security for Public Cloud Environment with Secured Hybrid Encryption Authentication Mechanisms

2018 ◽  
Vol 19 (4) ◽  
pp. 351-360
Author(s):  
Prabu S ◽  
Gpinath Ganapathy ◽  
Ranjan Goyal
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Cloud Storage ◽  
Cloud Service ◽  
Security Model ◽  
Public Cloud ◽  
Computing Environment ◽  
Data Outsourcing ◽  
Cloud Computing Environment

Cloud computing is an evolving computing technology that provides many services such as software and storage. With the introduction of cloud storage, the security of outsourced data has become a major issue in cloud computing. Data storage in cloud computing environment needs to be secured in order to provide a safe and foolproof security for data outsourcing of the cloud service users. This paper presents a model for security of data in public cloud storage environment which successfully detects the unauthenticated access or any anomaly in the data. The proposed authentication model along with the data security model presented in this paper shows that this model is the best model suitable for securing the data in cloud computing environment

scholarly journals Cloudbc-To Ensure Data Integrity in Cloud Computing Environments

2021 ◽  
Author(s):  
Amrutha S ◽  
MAHESH A S
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Research Work ◽  
Data Access ◽  
Cloud Data ◽  
Storage Devices ◽  
Blockchain Technology ◽  
Online Computation ◽  
Trace Back ◽  
Cloud Servers

Abstract An outbreak of corona virus caused by a novel virus called SARS-CoV-2 occurred at the end of 2019. The unexpected outbreak and unchecked global spread of COVID19 indicate that the current global healthcare networks have limitations in addressing the crises for public safety. In this paper, we have studied to secure the COVID-19 patients ’ data. Data security and Storage Management becomes the most promising task in it, to manage it we use cloud computing. This leads to the strong evidence of unanswered questions related to the data security over the cloud data centres. The Proposed research work aims to protect the cloud data by implementing the new approach using blockchain technology. a novel secure Online/offline Decentralized Attribute Based Encryption for cloud. The proposed scheme reduces the online computation burden for data owners by completing the preprocessing computation as much as during the offline phase. The proposed scheme eliminates a major of computation overhead on user side by migrating the partial decryption computation to the cloud servers. The secure hash blocks are generated and maintained by the cloud storage devices enhance the data security on the cloud. The block chains allow the user to trace back the malicious data access and modifications.

scholarly journals A Novel Classified Ledger Framework for Data Flow Protection in AIoT Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Daoqi Han ◽  
Songqi Wu ◽  
Zhuoer Hu ◽  
Hui Gao ◽  
Enjie Liu ◽  
...  
Keyword(s):  
Data Storage ◽  
Data Security ◽  
Heterogeneous Network ◽  
Data Flow ◽  
System On Chip ◽  
Blockchain Technology ◽  
Network Hierarchy ◽  
Computing Node ◽  
On Chip ◽  
Optimal Adaptation

The edge computing node plays an important role in the evolution of the artificial intelligence-empowered Internet of things (AIoTs) that converge sensing, communication, and computing to enhance wireless ubiquitous connectivity, data acquisition, and analysis capabilities. With full connectivity, the issue of data security in the new cloud-edge-terminal network hierarchy of AIoTs comes to the fore, for which blockchain technology is considered as a potential solution. Nevertheless, existing schemes cannot be applied to the resource-constrained and heterogeneous IoTs. In this paper, we consider the blockchain design for the AIoTs and propose a novel classified ledger framework based on lightweight blockchain (CLF-LB) that separates and stores data rights at the source and enables a thorough data flow protection in the open and heterogeneous network environment of AIoT. In particular, CLF-LB divides the network into five functional layers for optimal adaptation to AIoTs applications, wherein an intelligent collaboration mechanism is also proposed to enhance the across-layer operation. Unlike traditional full-function blockchain models, our framework includes novel technical modules, such as block regenesis, iterative reinforcement of proof-of-work, and efficient chain uploading via the system-on-chip system, which are carefully designed to fit the cloud-edge-terminal hierarchy in AIoTs networks. Comprehensive experimental results are provided to validate the advantages of the proposed CLF-LB, showing its potentials to address the secrecy issues of data storage and sharing in AIoTs networks.

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