Blockchain-Oriented Software Development Issues: A Literature Review

AL-Ashmori, Ammar; Basri, Shuib; Dominic, P. D. D.; Muneer, Amgad; Al-Tashi, Qasem; Al-Ashmori, Yasser

doi:10.1007/978-3-030-90318-3_6

Cited by 18 publications

(6 citation statements)

References 21 publications

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“…The central concept is SOC, data off the chain. By leveraging the blockchain's smart contract mechanisms, each department's data is extended to the blockchain-based on a service-oriented architecture [29], while sensitive data is maintained on the blockchain [12].…”

Section: Service-on-chain (Soc)mentioning

confidence: 99%

Medi-Block Record Secure Data Sharing in Healthcare System: Issues, Solutions and Challenges

Zukarnain,

Muneer,

Nassir

et al. 2023

CSSE

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With the advancements in the era of artificial intelligence, blockchain, cloud computing, and big data, there is a need for secure, decentralized medical record storage and retrieval systems. While cloud storage solves storage issues, it is challenging to realize secure sharing of records over the network. Medi-block record in the healthcare system has brought a new digitalization method for patients' medical records. This centralized technology provides a symmetrical process between the hospital and doctors when patients urgently need to go to a different or nearby hospital. It enables electronic medical records to be available with the correct authentication and restricts access to medical data retrieval. Medi-block record is the consumer-centered healthcare data system that brings reliable and transparent datasets for the medical record. This study presents an extensive review of proposed solutions aiming to protect the privacy and integrity of medical data by securing data sharing for Medi-block records. It also aims to propose a comprehensive investigation of the recent advances in different methods of securing data sharing, such as using Blockchain technology, Access Control, Privacy-Preserving, Proxy Re-Encryption, and Service-On-Chain approach. Finally, we highlight the open issues and identify the challenges regarding secure data sharing for Medi-block records in the healthcare systems.

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Section: Service-on-chain (Soc)mentioning

confidence: 99%

Medi-Block Record Secure Data Sharing in Healthcare System: Issues, Solutions and Challenges

Zukarnain,

Muneer,

Nassir

et al. 2023

CSSE

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“…Since each block contains a cryptographic hash of the original data, each hash is unique, every block includes the previous block's hash, and transactions are stored on separate nodes throughout the dispersed network, therefore eliminating any need to modify the block content [28]. One of the disadvantages of the immutability feature is that it is also impossible to modify data that might be erroneous before entering the Blockchain [29]. However, it facilitates the tracking of data sequences.…”

Section: Characteristics Of Blockchainmentioning

confidence: 99%

Classifications of Sustainable Factors in Blockchain Adoption: A Literature Review and Bibliometric Analysis

et al. 2022

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Blockchain is a cutting-edge technology that is transforming and reshaping many industries. Hence, the adoption of Blockchain is becoming an increasingly significant topic. The number of publications discussing the potential of Blockchain adoption has been expanding significantly. In addition, not enough attention has been given to Blockchain adoption in the software development industry. As a result, a systematic overview to investigate the research trends in this area is needed. This study uses a Scientometric analysis and critical review to examine the evolution of Blockchain adoption research on the Web of Science Principal Collection. In addition, a systematic literature review (SLR) was conducted to identify gaps in Blockchain adoption research and the top reasons for adopting Blockchain with the intention of proposing a sustainable adoption framework. This study extends the body of knowledge by discussing the most influential countries, authors, organizations, publication themes, and most cited publications on Blockchain adoption research. Additionally, this study identifies the 30 relevant studies from the Web of Science and Scopus, including their industries, countries, methods, and respondent sample size, and the top 18 adoption factors among them. Consequently, this study proposes a suitable Blockchain adoption framework based on these top 18 factors. Finally, this study’s aim and unique contribution is to serve as an initial launching point for upcoming Blockchain adoption in software development industry research.

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“…The architecture generally consists of a data layer, a network layer, a consensus layer, an incentive layer, a contract layer and an application layer [17]. The development of blockchain technology is now generally considered to have reached the third generation [18]. Blockchain 1.0 is represented by Bitcoin, whose basic function is to achieve a de-neutralised digital currency.…”

Section: Background and Related Workmentioning

confidence: 99%

Phishing Scam Detection on Ethereum via Mining Trading Information

Chen¹,

Fu²

2022

Journal of Cyber Security

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As a typical representative of web 2.0, Ethereum has significantly boosted the development of blockchain finance. However, due to the anonymity and financial attributes of Ethereum, the number of phishing scams is increasing rapidly and causing massive losses, which poses a serious threat to blockchain financial security. Phishing scam address identification enables to detect phishing scam addresses and alerts users to reduce losses. However, there are three primary challenges in phishing scam address recognition task: 1) the lack of publicly available large datasets of phishing scam address transactions; 2) the use of multi-order transaction information requires a large number of queries and computations; and 3) the extraction of phishing scam address features relies on machine learning methods excessively, which leads to the loss of practical meaning and is harmful to the research of phishing scam addresses. This paper proposes a systematic phishing scam address recognition scheme, to simultaneously overcome the three challenges in phishing scam address recognition. In this paper, a systematic phishing scam address recognition scheme is proposed to addresses these issues. Specifically, due to the insufficient number of address tagged in the existing publicly available Ethereum phishing scam address transaction dataset, we first construct a transaction dataset involving over 10000 tagged addresses. To the best of our knowledge, this is the largest dataset of tagged addresses for Ethereum phishing scam detection. Then, we design a new heuristic rule to implement feature extraction of address nodes by analysing the traditional financial involved accounts combined with information specific to Ethernet transactions. After that, a novel adaptive feature importance filtering method is designed to adaptively adjust the filtering threshold based on the final classification results, which reduce the feature dimensionality while ensuring a certain detection performance. Finally, random forest is used to classify whether the addresses is a phishing scam address or not. Extensive experiments on real Ethereum datasets show that our approach (98.89% Precision, 98.35% Recall, 98.62% F1) achieves state-of-the-art performance.

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Blockchain-Oriented Software Development Issues: A Literature Review

Cited by 18 publications

References 21 publications

Medi-Block Record Secure Data Sharing in Healthcare System: Issues, Solutions and Challenges

Medi-Block Record Secure Data Sharing in Healthcare System: Issues, Solutions and Challenges

Classifications of Sustainable Factors in Blockchain Adoption: A Literature Review and Bibliometric Analysis

Phishing Scam Detection on Ethereum via Mining Trading Information

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