Authentication Protocol for Cloud Databases Using Blockchain Mechanism

Deep, Gaurav; Mohana, Rajni; Nayyar, Anand; Sanjeevikumar, P.; Hossain, Eklas

doi:10.3390/s19204444

Cited by 56 publications

(34 citation statements)

References 46 publications

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“…The big data applications are supported by a wide variety of academic research to visualize, curate, analyze and capture the data [37][38][39]. The system is an integration of learning services, information services, and infrastructure services.…”

Section: Research Directionsmentioning

confidence: 99%

Blockchain and Fog Based Architecture for Internet of Everything in Smart Cities

et al. 2020

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Fog computing (FC) is used to reduce the energy consumption and latency for the heterogeneous communication approaches in the smart cities’ applications of the Internet of Everything (IoE). Fog computing nodes are connected through wired or wireless medium. The goal of smart city applications is to develop the transaction relationship of real-time response applications. There are various frameworks in real-world to support the IoE in smart-cities but they face the issues like security, platform Independence, multi-application assistance, and resource management. This article is motivated from the Blockchain and Fog computing technologies and presents a secured architecture Blockchain and Fog-based Architecture Network (BFAN) for IoE applications in the smart cities. The proposed architecture secures sensitive data with encryption, authentication, and Blockchain. It assists the System-developers and Architects to deploy the applications in smart city paradigm. The goal of the proposed architecture is to reduce the latency and energy, and ensure improved security features through Blockchain technology. The simulation results demonstrate that the proposed architecture performs better than the existing frameworks for smart-cities.

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Section: Research Directionsmentioning

confidence: 99%

Blockchain and Fog Based Architecture for Internet of Everything in Smart Cities

et al. 2020

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“…The BC role was to guarantee that all signing parties will reveal their signature or they will lose their deposit as a penalty. Authors of [59] proposed a BC-based authentication mechanism to mainly forbid cloud insider attacks that may actively manipulate, or passively disclose, private clients' data. Using this system, data is saved regularly at the cloud, but can only be disclosed by authenticated users.…”

Section: F Other Fc-bc Applicationsmentioning

confidence: 99%

A Survey on Blockchain-Fog Integration Approaches

Baniata

Kertész

2020

IEEE Access

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Fog computing (FC) is the extension of Cloud Computing (CC), from the core of the internet architecture to the edge of the network, with the aim to perform processes closer to end-users. This extension is proven to enhance security, and to reduce latency and energy consumption. Blockchain (BC), on the other hand, is the base technology behind crypto-currencies, yet is implemented in wide range of different applications. The security and reliability, along with the distributed trust management criteria proposed in BC, excited the research community to integrate it with FC, in a step towards reaching a distributed and trusted, Data, Payment, Reputation, and Identity management systems. In this survey we present the upto-date state-of-the-art of FC-BC integration with a detailed literature review and classification. We discuss and categorize the related papers according to the year of publication, domain, used algorithms, BC roles, and the placement of the BC in the FC architecture. Our research presents detailed observations, analysis, and open challenges for the BC-FC integration. We believe such conclusions may clarify the vision of the BC-FC integration, and calibrate the compass towards open issues and future research directions.

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“…Moreover, cloud efficiency security, optimization including load balancing [55][56][57][58] and cloud location services have also have impact on cloud based health cares. In addition, cloud design, authentication mechanism such as using blockchain and wireless sensor network [59][60][61][62][63][64][65][66], security and privacy in remote health care also consider a high impact on this.…”

Section: Threats To Validity (Tv)mentioning

confidence: 99%

Towards Pattern-Based Change Verification Framework for Cloud-Enabled Healthcare Component-Based

et al. 2020

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To survive in the competitive environment, most organizations have adopted componentbased software development strategies in the rapid technology advancement era and the proper utilization of cloud-based services. To facilitate the continuous configuration, reduce complexity, and faster system delivery for higher user satisfaction in dynamic scenarios. In cloud services, customers select services from web applications dynamically. Healthcare body sensors are commonly used for diagnosis and monitoring patients continuously for their emergency treatment. The healthcare devices are connected with mobile or laptop etc. on cloud environment with network and frequently change applications. Thus, organizations rely on regression testing during changes and implementation to validate the quality and reliability of the system after the alteration. However, for a large application with limited resources and frequently change component management activities in the cloud computing environment, component-based system verification is difficult and challenging due to irrelevant and redundant test cases and faults. In this study, proposed a test case selection and prioritization framework using a design pattern to increase the faults detection rate. First, we select test cases on frequently accessed components using observer patterns and, secondly, prioritize test cases on adopting some strategies. The proposed framework was validated by an experiment and compared with other techniques (previous faults based and random priority). Hence, experimental results show that the proposed framework successfully verified changes. Subsequently, the proposed framework increases the fault detection rate (i.e., more than 90%) than previous faults based and random priority (i.e., more than 80% respectively).

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Authentication Protocol for Cloud Databases Using Blockchain Mechanism

Cited by 56 publications

References 46 publications

Blockchain and Fog Based Architecture for Internet of Everything in Smart Cities

Blockchain and Fog Based Architecture for Internet of Everything in Smart Cities

A Survey on Blockchain-Fog Integration Approaches

Towards Pattern-Based Change Verification Framework for Cloud-Enabled Healthcare Component-Based

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