A comprehensive review of blockchain technology: Underlying principles and historical background with future challenges

Tripathi, Gautami; Ahad, Mohd Abdul; Casalino, Gabriella

doi:10.1016/j.dajour.2023.100344

Cited by 47 publications

(8 citation statements)

References 104 publications

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“…Collecting data on the blockchain and building the required number of blocks to ensure its immutability can be expensive due to a shortage of skilled professionals capable of developing blockchain infrastructure [ 43 , 66 ]. Consequently, there may be a need to accelerate transaction processing time, measured in the number of transactions per second, as PMS data exchanges require swift completion to ensure early detection of safety concerns.…”

Section: Discussionmentioning

confidence: 99%

“…New storage solutions that leverage BCT offer permanent and secure storage of medical device PMS data while maintaining efficiency and cost-effectiveness. The integration of blockchain in PMS has the potential to standardize data formats and content from various sources, enhance the security and efficiency of data exchange, ensure data integrity and transparency, and reduce the need for human intervention at each stage of data creation and retrieval [ 7 , 43 ]. The distributed nature of blockchain and the requirement for consensus to alter the chain enhance data integrity.…”

Section: Technical Reportmentioning

confidence: 99%

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Applications of Blockchain-Based Technology for Healthcare Devices Post-market Surveillance

Muniappan,

Jeyaraman,

Yadav

et al. 2024

Cureus

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The volume of data analysis for medical device post-market surveillance (PMS) has increased dramatically in recent years. It is the more stringent and intricate regulatory criteria of the health authorities that are meant to improve the medical device safety review. As regulators scrutinize device safety more closely, proactive approaches to PMS processes are becoming crucial. To solve some of the issues brought on by this shifting regulatory landscape, new technologies have been investigated. This study envisages the technical features of blockchain technology (BCT) and its role in enhancing the PMS for medical devices. To address the aforementioned challenges, our model involves the establishment of a secure, permissioned blockchain for PMS data management, utilizing a proof-of-authority consensus mechanism. This blockchain framework will exclusively permit a carefully vetted and designated set of participants to validate transactions and record them in the PMS data ledger. The utilization of BCT holds the potential to introduce enhanced efficiency and provide several advantages to the various stakeholders involved in the PMS procedure, including its potential to support emerging regulatory efforts.

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Section: Discussionmentioning

confidence: 99%

Section: Technical Reportmentioning

confidence: 99%

Applications of Blockchain-Based Technology for Healthcare Devices Post-market Surveillance

Muniappan,

Jeyaraman,

Yadav

et al. 2024

Cureus

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“…An overview of the fundamental ideas behind blockchain technology, including its architecture, consensus processes, and projected advancements, is provided by authors in [1][2][3][4][5]. Additionally, researchers in [6][7][8]11] provide a thorough analysis of the many forms of cyberattacks and countermeasures.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is also known as Distributed Ledger Technology (DLT), which creates and maintains all the user records within the block [3]. During the updation of information in the block, the copy of information gets updated at multiple decentralized locations simultaneously [4].…”

Section: Introductionmentioning

confidence: 99%

Enhancing blockchain security: a novel approach to integrated malware defence mechanisms

Sharma,

Upadhyay,

Sharma

2024

Eng. Res. Express

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This paper introduces a novel integrated hybrid malware attack detection algorithm, focusing on enhancing cybersecurity within blockchain systems by addressing the prevalent challenges of Byzantine fault tolerance, Reentrancy, and DDOS attacks.The significance of this research lies in its contribution to safeguarding blockchain technology, a cornerstone for secure,decentralized digital transactions, against sophisticated malware threats. Current cybersecurity solutions frequently fall short of offering a complete defense mechanism, making it difficult to effectively combat a variety of dynamic malware attacks atthe same time. Thus, the main objective of this research is to provide a hybrid framework that combines DDOS attack prevention, reentrancy attack detection, and Byzantine fault tolerance detection into a single, cohesive architecture. Theproposed hybrid framework encompasses a detailed algorithmic approach integrating SHA-256 and DSA to analyze theaforementioned three malware attacks. A hybrid model combining these algorithms, implemented in one block, has been developed to mitigate malicious activity. These measures aim to improve computational complexity and expedite execution within the network of nodes. To test the efficacy of the proposed framework, the approach is tested on the NSL-KDD dataset to analyze the malicious activities. The performance analysis of the proposed frameworks presents a recall and F1 score of .73 and .68 respectively. Furthermore, for efficient mitigation, the time and space complexity analysis are performed on proposed algorithms for attack analysis, which resulted in a combination of constant and linear time complexity operations. The findings reveal that the proposed algorithm successfully identifies and mitigates the targeted malware attacks and maintains optimal performance in terms of time and space complexity. This research's contribution to the cybersecurity field is significant, offering a robust, scalable solution that enhances the resilience of blockchain networks against a broad spectrum of malware attacks.

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“…Blockchain and artificial intelligence (AI) are widely recognized as technologies with the potential to fundamentally transform and innovate across multiple industries and sectors. While the term blockchain truly began to captivate the global tech community in 2008 through the launch of the Bitcoin cryptocurrency by Satoshi Nakamoto [1], the fundamental principles and concepts it is based on have been in practice since the 1980s [2]. Specifically, the first attempt to create a decentralized and cryptographic digital money came out as early as 1983 in the seminal paper titled "Blind signatures for untraceable payments" [3].…”

Section: Introductionmentioning

confidence: 99%

The Convergence of Artificial Intelligence and Blockchain: The State of Play and the Road Ahead

Bhumichai,

Smiliotopoulos,

Benton

et al. 2024

Information

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Artificial intelligence (AI) and blockchain technology have emerged as increasingly prevalent and influential elements shaping global trends in Information and Communications Technology (ICT). Namely, the synergistic combination of blockchain and AI introduces beneficial, unique features with the potential to enhance the performance and efficiency of existing ICT systems. However, presently, the confluence of these two disruptive technologies remains in a rather nascent stage, undergoing continuous exploration and study. In this context, the work at hand offers insight regarding the most significant features of the AI and blockchain intersection. Sixteen outstanding, recent articles exploring the combination of AI and blockchain technology have been systematically selected and thoroughly investigated. From them, fourteen key features have been extracted, including data security and privacy, data encryption, data sharing, decentralized intelligent systems, efficiency, automated decision systems, collective decision making, scalability, system security, transparency, sustainability, device cooperation, and mining hardware design. Moreover, drawing upon the related literature stemming from major digital databases, we constructed a timeline of this technological convergence comprising three eras: emerging, convergence, and application. For the convergence era, we categorized the pertinent features into three primary groups: data manipulation, potential applicability to legacy systems, and hardware issues. For the application era, we elaborate on the impact of this technology fusion from the perspective of five distinct focus areas, from Internet of Things applications and cybersecurity, to finance, energy, and smart cities. This multifaceted, but succinct analysis is instrumental in delineating the timeline of AI and blockchain convergence and pinpointing the unique characteristics inherent in their integration. The paper culminates by highlighting the prevailing challenges and unresolved questions in blockchain and AI-based systems, thereby charting potential avenues for future scholarly inquiry.

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A comprehensive review of blockchain technology: Underlying principles and historical background with future challenges

Cited by 47 publications

References 104 publications

Applications of Blockchain-Based Technology for Healthcare Devices Post-market Surveillance

Applications of Blockchain-Based Technology for Healthcare Devices Post-market Surveillance

Enhancing blockchain security: a novel approach to integrated malware defence mechanisms

The Convergence of Artificial Intelligence and Blockchain: The State of Play and the Road Ahead

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