A Comparative Analysis of Blockchain Architecture and its Applications: Problems and Recommendations

Syed, Toqeer Ali; Alzahrani, Ali; Jan, Salman; Siddiqui, Muhammad Shoaib; Nadeem, Adnan; Alghamdi, Turki G.

doi:10.1109/access.2019.2957660

Cited by 204 publications

(51 citation statements)

References 111 publications

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“…Most modern industrial enterprises already rely on applications deployed on local or remote cloud computing systems, allowing multiple industry 4.0 participants to easily collaborate with each other. However, such a system suffers from a major limitation [25,26]: if the cloud is affected in one way or another by software problems, high workloads or attacks, the entire system can be blocked for all users.…”

Section: Cloud Computingmentioning

confidence: 99%

“…About 12 mathematical models for solar panels are found in the literature that are applied to solar-wind hybrid systems as shown in Table 1 [3,[16][17][18][19][20][21][22][23][24][25][26]. For this work, the model referenced in [20][21][22] is selected because it covers most of the characteristics and it is employed in the majority of the consulted references.…”

Section: Solar Panelmentioning

confidence: 99%

“…This approach will offer many advantages to secure and establish good trust among involved parties in the manufacturing value chain. A Man4Ware proposal in [52] views all resources in the smart manufacturing environment including sensors, actuators and IoT [26] devices as services that can be requested and deployed by other services in smart manufacturing applications. Furthermore, the addition of BCT services in Man4Ware will further improve the environment and facilitate more secure, traceable and immutable features in intelligent manufacturing applications.…”

Section: Related Work Based On Bct For Industry 40mentioning

confidence: 99%

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A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0

et al. 2020

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A systematic review of the literature is presented related to the usage of blockchain technology (BCT) for cyber-threats in the context of Industry 4.0. BCT plays a crucial role in creating smart factories and it is recognized as a core technology that triggers a disruptive revolution in Industry 4.0. Beyond security, authentication, asset tracking and the exchange of smart contracts, BCTs allow terminals to exchange information according to mutually agreed rules within a secured manner. Consequently, BCT can play a crucial role in industrial sustainability by preserving the assets and the environment and by enhancing the quality of life of citizens. In this work, a classification of the most important cyber-attacks that occurred in the last decade in Industry 4.0 is proposed based on four classes. The latter classes cover scanning, local to remote, power of root and denial of service (DoS). BCT is also defined and various types belong to BCT are introduced and highlighted. Likewise, BCT protocols and implementations are discussed as well. BCT implementation includes linear structure and directed acyclic graph (DAG) technology. Then, a comparative study of the most relevant works based on BCT in Industry 4.0 is conducted in terms of confidentiality, integrity, availability, privacy and multifactor authentication features. Our review shows that the integration of BCT in industry can ensure data confidentiality and integrity and should be enforced to preserve data availability and privacy. Future research directions towards enforcing BCT in the industrial field by considering machine learning, 5G/6G mobile systems and new emergent technologies are presented.

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Section: Cloud Computingmentioning

confidence: 99%

Section: Solar Panelmentioning

confidence: 99%

Section: Related Work Based On Bct For Industry 40mentioning

confidence: 99%

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A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0

et al. 2020

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“…Authors in [26] have provided a comparative analysis of available blockchain ecosystems. They analyzed various security and consensus mechanisms of different blockchain platforms and proposed key aspects required for the adaptation of the technology in the future applications.…”

Section: Hash Functions and Merkle Treesmentioning

confidence: 99%

Proof of Concept of Scalable Integration of Internet of Things and Blockchain in Healthcare

Satamraju

Malarkodi

2020

Sensors

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The advent of Internet of Things (IoT) brought innovation along with unprecedented benefits of convenience and efficacy in many operations that were otherwise very cumbersome. This innovation explosion has surfaced a new dimension of vulnerability and physical threat to the data integrity of IoT networks. Implementing conventional cryptographic algorithms on IoT devices is not future-proof as these devices are constrained in terms of computational power, performance, and memory. In this paper, we are proposing a novel framework, a unique model that integrates IoT networks with a blockchain to address potential privacy and security threats for data integrity. Smart contracts are instrumental in this integration process and they are used to handle device authentication, authorization and access-control, and data management. We further share a new design model for interfaces to integrate both platforms while highlighting its performance results over the existing models. With the incorporation of off-chain data storage into the framework, overall scalability of the system can be increased. Finally, our research concludes how the proposed framework can be fused virtually into any existing IoT applications with minimal modifications.

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“…The use sanitization process almost eliminates the reconstruction ability of sensitive data over a large scale. [11,12] considered minmax normalization, fuzzy logic, rail-fence and map range to mask the sensitive attributes to preserves the privacy of an individual. The use of fuzzy logic is not only enhanced the efficiency of clustering, but also reduced the number of passes and processing time.…”

Section: Literature Reviewmentioning

confidence: 99%

Clustering based Privacy Preserving of Big Data using Fuzzification and Anonymization Operation

Khan¹,

Iqbal²,

Faizullah³

et al. 2019

IJACSA

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Big Data is used by data miner for analysis purpose which may contain sensitive information. During the procedures it raises certain privacy challenges for researchers. The existing privacy preserving methods use different algorithms that results into limitation of data reconstruction while securing the sensitive data. This paper presents a clustering based privacy preservation probabilistic model of big data to secure sensitive information..model to attain minimum perturbation and maximum privacy. In our model, sensitive information is secured after identifying the sensitive data from data clusters to modify or generalize it.The resulting dataset is analysed to calculate the accuracy level of our model in terms of hidden data, lossed data as result of reconstruction. Extensive experiements are carried out in order to demonstrate the results of our proposed model. Clustering based Privacy preservation of individual data in big data with minimum perturbation and successful reconstruction highlights the significance of our model in addition to the use of standard performance evaluation measures.

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A Comparative Analysis of Blockchain Architecture and its Applications: Problems and Recommendations

Cited by 204 publications

References 111 publications

A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0

A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0

Proof of Concept of Scalable Integration of Internet of Things and Blockchain in Healthcare

Clustering based Privacy Preserving of Big Data using Fuzzification and Anonymization Operation

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