A Novel Monitoring System for the Data Integrity of Reactor Protection System Using Blockchain Technology

Choi, Moon Kyoung; Yeun, Chan Yeob; Seong, Poong Hyun

doi:10.1109/access.2020.3005134

Cited by 54 publications

(14 citation statements)

References 12 publications

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“…Besides, Yazdinejad et al [25] presented cluster architecture where SDN controllers with block-chain are applied on IoT network to provide advanced routing protocols and to remove POWs for increased protection. Choi et al [26] developed an innovative model with block-chain and fabricated RPS prototype in order to monitor the data-integrity as PoM and identifed cyber-attacks in real-time of PLCs due to PoW network associated with lot of nodes.…”

Section: Block-chain Based Intelligent Cyber Defensementioning

confidence: 99%

EduChain: CIA-Compliant Blockchain for Intelligent Cyber Defense of Microservices in Education Industry 4.0

Rahman

Abuludin²,

Yuan³

et al. 2022

IEEE Trans. Ind. Inf.

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Massive data handling requirement in education industry 4.0 has attracted interests in the research of microservice architectures due to their scalability, resilience and elasticity characteristics. This development has been challenged by extensive data exchange required by a set of independent microservices to build a complete application, which could result in increasing risks and exposure to the security and privacy breaches of the data. It is imperative to see that educational data are highly sensitive, critical for ascertaining educational attainment and facilitating credentials for qualifcation verifcations. This paper puts forward a new proposal of devising a security and privacy-preserving design mechanism of data transactions in educational microservices leveraging the blockchain technology. The design comprises three phases, namely the blockchain framework, data sending-receiving and confdentialityintegrity-availability over a secured platform with each phase having detailed mechanisms for algorithm implementation. The proposal is shown to exhibit favourable performance in terms of time cost of publishing, throughput and latency, and shown to have high survey acceptance in terms of confdentiality, integrity and availability with approximately 10% improvement from prior blockchain adoption.

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Section: Block-chain Based Intelligent Cyber Defensementioning

confidence: 99%

EduChain: CIA-Compliant Blockchain for Intelligent Cyber Defense of Microservices in Education Industry 4.0

Rahman

Abuludin²,

Yuan³

et al. 2022

IEEE Trans. Ind. Inf.

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“…The worm attacks involve the injection of codes to the networks that target the operating system weaknesses to steal, modify, and delete data at the web client and the webserver. Examples of worm attacks have been discussed in Section 5.2 (such as Stuxnet, Flame, and Duqu, i.e., Code Red/Code Red II (2001), Nimda (2001), Triton (2017) [ 7 , 34 , 35 ].…”

Section: Smart City Layered Adversariesmentioning

confidence: 99%

A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions

Khalil

Malik

Uddin

et al. 2022

Sensors

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Smart devices have become an essential part of the architectures such as the Internet of Things (IoT), Cyber-Physical Systems (CPSs), and Internet of Everything (IoE). In contrast, these architectures constitute a system to realize the concept of smart cities and, ultimately, a smart planet. The adoption of these smart devices expands to different cyber-physical systems in smart city architecture, i.e., smart houses, smart healthcare, smart transportation, smart grid, smart agriculture, etc. The edge of the network connects these smart devices (sensors, aggregators, and actuators) that can operate in the physical environment and collects the data, which is further used to make an informed decision through actuation. Here, the security of these devices is immensely important, specifically from an authentication standpoint, as in the case of unauthenticated/malicious assets, the whole infrastructure would be at stake. We provide an updated review of authentication mechanisms by categorizing centralized and distributed architectures. We discuss the security issues regarding the authentication of these IoT-enabled smart devices. We evaluate and analyze the study of the proposed literature schemes that pose authentication challenges in terms of computational costs, communication overheads, and models applied to attain robustness. Hence, lightweight solutions in managing, maintaining, processing, and storing authentication data of IoT-enabled assets are an urgent need. From an integration perspective, cloud computing has provided strong support. In contrast, decentralized ledger technology, i.e., blockchain, light-weight cryptosystems, and Artificial Intelligence (AI)-based solutions, are the areas with much more to explore. Finally, we discuss the future research challenges, which will eventually help address the ambiguities for improvement.

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“…Blockchain is made up of strings of interconnected block headers and blocks bodies [195]. The block body consists of all transactions in the block.…”

Section: Intelligent Thingsmentioning

confidence: 99%

AI for Next Generation Computing: Emerging Trends and Future Directions

Gill,

Xu,

Ottaviani

et al. 2022

Preprint

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Autonomic computing investigates how systems can achieve (user) specified "control" outcomes on their own, without the intervention of a human operator. Autonomic computing fundamentals have been substantially influenced by those of control theory for closed and open-loop systems. In practice, complex systems may exhibit a number of concurrent and inter-dependent control loops. Despite research into autonomic models for managing computer resources, ranging from individual resources (e.g., web servers) to a resource ensemble (e.g., multiple resources within a data center), research into integrating Artificial Intelligence (AI) and Machine Learning (ML) to improve resource autonomy and performance at scale continues to be a fundamental challenge. The integration of AI/ML to achieve such autonomic and self-management of systems can be achieved at different levels of granularity, from full to human-in-the-loop automation. In this article, leading academics, researchers, practitioners, engineers, and scientists in the fields of cloud computing, AI/ML, and quantum computing join to discuss current research and potential future directions for these fields. Further, we discuss challenges and opportunities for leveraging AI and ML in next generation computing for emerging computing paradigms, including cloud, fog, edge, serverless and quantum computing environments.

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A Novel Monitoring System for the Data Integrity of Reactor Protection System Using Blockchain Technology

Cited by 54 publications

References 12 publications

EduChain: CIA-Compliant Blockchain for Intelligent Cyber Defense of Microservices in Education Industry 4.0

EduChain: CIA-Compliant Blockchain for Intelligent Cyber Defense of Microservices in Education Industry 4.0

A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions

AI for Next Generation Computing: Emerging Trends and Future Directions

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