scholarly journals Towards Achieving Personal Privacy Protection and Data Security on Integrated E-Voting Model of Blockchain and Message Queue

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Siriboon Chaisawat ◽  
Chalee Vorakulpipat
Keyword(s):  
Data Storage ◽  
Data Security ◽  
Data Privacy ◽  
Performance Tests ◽  
Production Environment ◽  
Personal Privacy ◽  
Integration Model ◽  
Message Queue ◽  
Blockchain Technology ◽  
New Challenges

The growing number of e-voting applications indicates the need in resolving issues that exist in the traditional election model. By integrating with blockchain technology, we could extend the model’s capabilities by presenting transparency in logic execution and integrity in data storage. Despite these advantages, blockchain brings in new challenges regarding system performance and data privacy. Due to distributed nature of blockchain, any new updating request needs to be reflected in all network’s peers before proceeding to the subsequence requests. This process produces delay and possibility in request rejection due to update conflict. In addition, data removal is no longer feasible since each record is protected by immutable hashed link. To overcome these limitations, the integration model of blockchain and message queue is proposed in this paper. The design addresses security concerns in data exchanging patterns, voter anonymization, and proof of system actor’s legitimacy. Performance tests are conducted on system prototypes which were deployed on two different settings. The result shows that the system can perform well in production environment, and introduction of message queue handling scheme can cope with blockchain’s errors in unexpected scenarios.

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 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 Personal Privacy Data Protection in Location Recommendation System

2021 ◽  
Vol 2138 (1) ◽  
pp. 012026
Author(s):  
Linrui Han
Keyword(s):  
Data Storage ◽  
Data Protection ◽  
Data Security ◽  
Recommendation System ◽  
Data Availability ◽  
Data Publishing ◽  
Published Data ◽  
Personal Privacy ◽  
Location Recommendation ◽  
Privacy Issues

Abstract At present, there are many location-based recommendation algorithms and systems, including location calculation, route calculation, and so on. However, in the general information data publishing, the privacy issues in the published data have not been fully paid attention to and protected. The purpose of this article is to investigate the effectiveness of personal privacy data protection in location recommendation systems. This paper first introduces the basis and importance of research on data security and secrecy, analyses personal privacy issues in data publishing in the era of big data, summarizes the research status in the field of security and secrecy at home and abroad, and introduces the process of data security and the role of users in it. Then, some classic privacy security modules in this field are introduced, and the privacy of data storage security concepts in the current situation mentioned in this paper is analyzed. A geographic location-based privacy protection scheme in mobile cloud is proposed. Privacy analysis, sensitive attribute generalization information analysis, route synthesis analysis and related experiments are performed on the location recommendation system. The experimental results show that the scheme proposed in this paper is more secure and has less loss of data availability.

scholarly journals Healthchain: A novel framework on privacy preservation of electronic health records using blockchain technology

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243043
Author(s):  
Shekha Chenthara ◽  
Khandakar Ahmed ◽  
Hua Wang ◽  
Frank Whittaker ◽  
Zhenxiang Chen
Keyword(s):  
Electronic Health Records ◽  
Data Security ◽  
Data Privacy ◽  
Health Data ◽  
Cyber Attacks ◽  
Security Risk ◽  
Patient Privacy ◽  
Health Records ◽  
Blockchain Technology ◽  
Electronic Health

The privacy of Electronic Health Records (EHRs) is facing a major hurdle with outsourcing private health data in the cloud as there exists danger of leaking health information to unauthorized parties. In fact, EHRs are stored on centralized databases that increases the security risk footprint and requires trust in a single authority which cannot effectively protect data from internal attacks. This research focuses on ensuring the patient privacy and data security while sharing the sensitive data across same or different organisations as well as healthcare providers in a distributed environment. This research develops a privacy-preserving framework viz Healthchain based on Blockchain technology that maintains security, privacy, scalability and integrity of the e-health data. The Blockchain is built on Hyperledger fabric, a permissioned distributed ledger solutions by using Hyperledger composer and stores EHRs by utilizing InterPlanetary File System (IPFS) to build this healthchain framework. Moreover, the data stored in the IPFS is encrypted by using a unique cryptographic public key encryption algorithm to create a robust blockchain solution for electronic health data. The objective of the research is to provide a foundation for developing security solutions against cyber-attacks by exploiting the inherent features of the blockchain, and thus contribute to the robustness of healthcare information sharing environments. Through the results, the proposed model shows that the healthcare records are not traceable to unauthorized access as the model stores only the encrypted hash of the records that proves effectiveness in terms of data security, enhanced data privacy, improved data scalability, interoperability and data integrity while sharing and accessing medical records among stakeholders across the healthchain network.

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.

scholarly journals Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Maliha Sultana ◽  
Afrida Hossain ◽  
Fabiha Laila ◽  
Kazi Abu Taher ◽  
Muhammad Nazrul Islam
Keyword(s):  
Data Sharing ◽  
Data Storage ◽  
Data Security ◽  
Medical Image ◽  
Research Output ◽  
Health Data ◽  
Medical Data ◽  
Sensitive Information ◽  
Security Measures ◽  
Blockchain Technology

Abstract Background Data security has been a critical topic of research and discussion since the onset of data sharing in e-health systems. Although digitalization of data has increased efficiency and speed, it has also made data vulnerable to cyber attacks. Medical records in particular seem to be the regular victims of hackers. Several data breach incidents throughout history have warranted the invention of security measures against these threats. Although various security procedures like firewalls, virtual private networks, encryption, etc are present, a mix of these approaches are required for maximum security in medical image and data sharing. Methods Relatively new, blockchain has become an effective tool for safeguarding sensitive information. However, to ensure overall protection of medical data (images), security measures have to be taken at each step, from the beginning, during and even after transmission of medical images which is ensured by zero trust security model. In this research, a number of studies that deal with these two concepts were studied and a decentralized and trustless framework was proposed by combining these two concepts for secured medical data and image transfer and storage. Results Research output suggested blockchain technology ensures data integrity by maintaining an audit trail of every transaction while zero trust principles make sure the medical data is encrypted and only authenticated users and devices interact with the network. Thus the proposed model solves a lot of vulnerabilities related to data security. Conclusions A system to combat medical/health data vulnerabilities has been proposed. The system makes use of the immutability of blockchain, the additional security of zero trust principles, and the scalability of off chain data storage using Inter Planetary File Systems (IPFS). The adoption of this system suggests to enhance the security of medical or health data transmission.

scholarly journals Design of Safety and Integrated Disaster Prevention System Based on Big Data Technology

2022 ◽  
Vol 2146 (1) ◽  
pp. 012036
Author(s):  
Yungui Chen ◽  
Liwei Tian ◽  
Lei Yang ◽  
Longqing Zhang
Keyword(s):  
Data Storage ◽  
Data Security ◽  
Internet Technology ◽  
Continuous Increase ◽  
Data Usage ◽  
Blockchain Technology ◽  
Data Volume ◽  
Efficient Data ◽  
High Storage ◽  
Big Data Technology

Abstract With the development of Internet technology, with the continuous increase of data volume, it has become more and more difficult to maintain the traditional centralized data storage method. Data is easy to copy, difficult to share, high storage costs, and low data usage efficiency. Further trigger the demand for more efficient data storage technology. This article aims to study the application of blockchain technology in the data security storage and sharing system. On the basis of analyzing the problems of data sharing and cryptography, the functional modules of the data security storage and sharing system are designed. Encryption uses public key encryption algorithm to ensure encryption performance. The simulation experiment results show that the system is effective for file sharing, and the average generation time of the algorithm in this paper is within the controllable range.

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).

Data Security and Data Privacy in Cloud Computing

2014 ◽  
Vol 905 ◽  
pp. 687-692
Author(s):  
Waleed Al-Museelem ◽  
Chun Lin Li
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Data Privacy ◽  
Research Work ◽  
Research Paper ◽  
Security And Privacy ◽  
Future Research ◽  
Successful Implementation ◽  
Privacy And Security

Cloud computing has led to the development of IT to more sophisticated levels by improving the capacity and flexibility of data storage and by providing a scalable computation and processing power which matches the dynamic data requirements. Cloud computing has many benefits which has led to the transfer of many enterprise applications and data to public and hybrid clouds. However, many organizations refer to the protection of privacy and the security of data as the major issues which prevent them from adopting cloud computing. The only way successful implementation of clouds can be achieved is through effective enhancement and management of data security and privacy in clouds. This research paper analyzes the privacy and protection of data in cloud computing through all data lifecycle stages providing an overall perspective of cloud computing while highlighting key security issues and concerns which should be addressed. It also discusses several current solutions and further proposes more solutions which can enhance the privacy and security of data in clouds. Finally, the research paper describes future research work on the protection of data privacy and security in clouds.

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