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Decentralized Medical Image Sharing: A Blockchain Based Approach with Subject Sensitive Hashing for Enhanced Privacy and Integrity
IET Blockchain Pub Date : 2025-04-01 DOI: 10.1049/blc2.70009
Yeasir Arafat, Abu Sayem Md. Siam, Md Muzadded Chowdhury, Md Mehedi Hasan, Sayed Hossain Jobayer, Swakkhar Shatabda, Salekul Islam, Saddam Mukta
{"title":"Decentralized Medical Image Sharing: A Blockchain Based Approach with Subject Sensitive Hashing for Enhanced Privacy and Integrity","authors":"Yeasir Arafat,&nbsp;Abu Sayem Md. Siam,&nbsp;Md Muzadded Chowdhury,&nbsp;Md Mehedi Hasan,&nbsp;Sayed Hossain Jobayer,&nbsp;Swakkhar Shatabda,&nbsp;Salekul Islam,&nbsp;Saddam Mukta","doi":"10.1049/blc2.70009","DOIUrl":"https://doi.org/10.1049/blc2.70009","url":null,"abstract":"<p>This research presents a blockchain-based framework for secure and efficient medical image sharing, prioritizing data integrity and privacy. The framework involves two key phases: image compression with feature extraction and image encryption with storage on the InterPlanetary File System (IPFS). Medical images are compressed using the JPEG algorithm to reduce file size while maintaining diagnostic value. A deep neural network-based subject sensitive hashing (SSH) algorithm ensures feature map integrity by extracting consistent features from both original and compressed images. Encrypted images, along with SSH-generated hashes, are securely stored in the IPFS server. The encryption key and hash sequence are used for secure image retrieval, with smart contracts validating access requests based on the hash sequence. This multi-stage feature extraction approach demonstrates robust image integrity, security, and privacy, as verified by experimental results. Achieving an average correctness rate of 98% across multiple datasets, the framework significantly enhances healthcare data management by addressing the challenges of secure, scalable, and private medical image sharing. This research contributes to the development of more efficient, reliable, and privacy-conscious solutions for medical image handling in healthcare systems.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Financial Performance Analysis of Firms Using Blockchain Technology: Based Entropy-TOPSIS
IET Blockchain Pub Date : 2025-03-29 DOI: 10.1049/blc2.70007
Hamide Özyürek, Serdar Çelik
{"title":"Financial Performance Analysis of Firms Using Blockchain Technology: Based Entropy-TOPSIS","authors":"Hamide Özyürek,&nbsp;Serdar Çelik","doi":"10.1049/blc2.70007","DOIUrl":"https://doi.org/10.1049/blc2.70007","url":null,"abstract":"<p>This study aims to compare the financial performance of 13 companies from the 2021 Forbes blockchain 50, all of which are also featured in the Brand Finance Global 500 for their high brand value, excluding firms in the banking and insurance sectors. The Forbes blockchain 50 list was chosen because it identifies leading firms actively leveraging blockchain technology (BT), making it a relevant source for examining the relationship between blockchain use and financial performance. The financial performance of these companies was assessed using the TOPSIS multi-criteria decision-making method, with performance scores derived from profitability ratios. Results showed that companies in the technology, logistics and commercial services sectors achieved higher performance index scores compared to others. The findings demonstrate that technology companies utilising BT and possessing high brand values showed elevated performance index scores. These results suggest that the adoption of BT has a favourable impact on the financial performance and brand value of companies. This study highlights the strategic importance of BT and its role in shaping the future of financial performance and brand value across various sectors.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ShaEr: A Blockchain-Based Framework for Secure Medical Data Sharing and Monetisation
IET Blockchain Pub Date : 2025-03-29 DOI: 10.1049/blc2.70008
Md. Ahsan Habib, Md. Motaleb Hossen Manik
{"title":"ShaEr: A Blockchain-Based Framework for Secure Medical Data Sharing and Monetisation","authors":"Md. Ahsan Habib,&nbsp;Md. Motaleb Hossen Manik","doi":"10.1049/blc2.70008","DOIUrl":"https://doi.org/10.1049/blc2.70008","url":null,"abstract":"<p>In the rapidly evolving landscape of healthcare research, the demand for medical data has become indispensably vital. Additionally, incentivising owners to share their health data while maintaining privacy and security is a key challenge. By leveraging the potential of blockchain technology, a solution can be developed to tackle these challenges. This paper presents a novel framework to enable secure medical data sharing and monetisation that utilises the inherent features of blockchain to establish a robust and transparent framework. The blockchain ensures tamper-proof storage, transparent data transactions, enhancing trust and data integrity. The framework's privacy-preserving features enable data owners to securely contribute and access medical data while maintaining control over their information. Furthermore, the framework introduces a unique monetisation mechanism for sharing data by incorporating stablecoin. Smart contracts and encryption techniques enhance data security and enforce consent-based data usage. The framework has the potential to revolutionise medical research, driving advancements in diagnosis, treatment, and public health. Finally, the experimental evaluation, analysis and comparison with the state-of-the-art-works prove the efficiency of the framework.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development and Research of the Methodology for Improving the Proof-of-Work Blockchain Technology by Implementing Dynamic Clustering of Network Nodes
IET Blockchain Pub Date : 2025-03-04 DOI: 10.1049/blc2.70006
Diana Soloviova, Svitlana Antoshchuk, Viktor Boltenkov
{"title":"Development and Research of the Methodology for Improving the Proof-of-Work Blockchain Technology by Implementing Dynamic Clustering of Network Nodes","authors":"Diana Soloviova,&nbsp;Svitlana Antoshchuk,&nbsp;Viktor Boltenkov","doi":"10.1049/blc2.70006","DOIUrl":"https://doi.org/10.1049/blc2.70006","url":null,"abstract":"<p>In this paper, a methodology for optimizing the proof-of-work (PoW) blockchain technology based on dynamic node clustering to reduce transaction time is proposed. A blockchain network modeling system that implements the approach of dynamic node distribution into clusters, allowing the system to be divided into subsystems was developed and implemented. An alternative consensus concept for more efficient interaction between network nodes was proposed. The results of the study demonstrate that the cluster structure improves network performance: it increases the number of transactions per second by 0.02 transactions, reduces the average transaction time by 1.67 s, increases throughput by 0.2 transactions, reduces latency by 1.667 s, and significantly reduces the overall energy consumption of the system (reduction by 5122 energy units). These data confirm the potential of the proposed approach for a wide range of practical applications.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143554260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CommTLC: An Alternative to Reduce the Attack Surface of HTLCs in Lightning Networks
IET Blockchain Pub Date : 2025-03-01 DOI: 10.1049/blc2.70005
Prerna Arote, Joy Kuri
{"title":"CommTLC: An Alternative to Reduce the Attack Surface of HTLCs in Lightning Networks","authors":"Prerna Arote,&nbsp;Joy Kuri","doi":"10.1049/blc2.70005","DOIUrl":"https://doi.org/10.1049/blc2.70005","url":null,"abstract":"<p>The Payment Channel Network is widely recognized as one of the most effective solutions for handling off-chain transactions and addressing blockchain scalability challenges. In the Lightning Network, a popular off-chain mechanism, multi-hop payments are facilitated through Hashed Time-Locked Contracts (HTLCs). However, despite its broad adoption, HTLCs are susceptible to various attacks, such as Fakey, Griefing, and Wormhole attacks. In these attacks, adversaries aim to disrupt transaction throughput by exhausting channel capacity or stealing routing fees from honest nodes along the payment path. We propose a scheme called CommTLC, which leverages Pedersen commitments and signatures to detect and punish/prevent adversaries in Fakey, Griefing and Wormhole attacks. We implement the proposed scheme and analyse its security within the universal composability (UC) framework. Additionally, we compare the performance of CommTLC with the latest schemes, MAPPCN-OR and EAMHL+. The results demonstrate that CommTLC outperforms both MAPPCN-OR and EAMHL+ in communication overhead, with only a slight increase in computational overhead compared to MAPPCN-OR. Furthermore, the adversary detection time for Fakey, Griefing and Wormhole attacks using CommTLC is reduced to just a few milliseconds—specifically, less than 112 ms for a payment path involving five users.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SparkGrid: Blockchain Assisted Secure Query Scheduling and Dynamic Risk Assessment for Live Migration of Services in Apache Spark-Based Grid Environment
IET Blockchain Pub Date : 2025-02-14 DOI: 10.1049/blc2.70004
Gangasandra Mahadevaiah Kiran, Narasimaiah Nalini
{"title":"SparkGrid: Blockchain Assisted Secure Query Scheduling and Dynamic Risk Assessment for Live Migration of Services in Apache Spark-Based Grid Environment","authors":"Gangasandra Mahadevaiah Kiran,&nbsp;Narasimaiah Nalini","doi":"10.1049/blc2.70004","DOIUrl":"https://doi.org/10.1049/blc2.70004","url":null,"abstract":"<p>Grid computing is an emerging technology that enables the heterogeneous collection of data and provision of services to users. Due to the high amount of incoming heterogeneous requests, grid computing needs efficient scheduling to reduce execution time and satisfy service level agreement (SLA) and quality of service (QoS) requirements. For that purpose, we proposed the SprakGrid method to reduce execution time and satisfy SLA, and QoS requirements. The proposed work includes four consecutive phases which are explained as follows, in first we perform user authentication to ensure the legitimacy of the users using the elliptic curve-based chaos theory algorithm which generates a secret key and stores it in the blockchain. In the second we perform query scheduling for resource discovery using the soft actor critic algorithm by considering 3P's parameters which is performed by spark environment that schedules optimal resources based on the service request. Third, we perform a risk assessment and request dropping, in which the risk nodes of workers are evaluated by the master node. To address the resource wastage by attackers, this research dynamically evaluates the risk value using Shannon entropy. Based on the risk assessment the requests are classified into two classes such as normal and malicious. Fourth we perform service live migration, in which the malicious requests are dropped and normal requests are migrated from the source node to the target node using multi-constraints based emperor penguin optimization. Finally, simulation is performed by GridSim and the simulation results demonstrate that the proposed SparkGrid method achieves superior performance compared to other state-of-the-art methods.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A research and enhancement strategy for detecting counterfeit medications utilizing blockchain technology
IET Blockchain Pub Date : 2025-02-05 DOI: 10.1049/blc2.70003
Sumit Kumar, Ritika Mehra, Himani Sivaraman, Umang Garg
{"title":"A research and enhancement strategy for detecting counterfeit medications utilizing blockchain technology","authors":"Sumit Kumar,&nbsp;Ritika Mehra,&nbsp;Himani Sivaraman,&nbsp;Umang Garg","doi":"10.1049/blc2.70003","DOIUrl":"https://doi.org/10.1049/blc2.70003","url":null,"abstract":"<p>The production, distribution of the counterfeit drugs are the major issue in today's world. These drugs create a big economic crunch in today's economic world. The major concern now days the counterfeit of drug is increasing day by day. Counterfeit refers to the fake medicine which is now increasing. In 2020 where all the countries are suffering from counterfeit of medicine. The article discusses about how the secure transaction of drug can be made to the all suppliers. Blockchain is a distributed technology where all the transaction made is transparent. All the transaction made in blockchain will be stored with all the network that relate to the blockchain network. Blockchain contain the concept of hash function. Hash function works like linked list it contains the address of previous node and the next node also. Hash function contain the hexadecimal value. With the implementation of blockchain technology and hyperledger framework it can be able to detect the counterfeit of drug in the early stage. If it is found in the early stage the supply of counterfeit of drug in the pharmaceutical industry like hospitals, pharmacy shops can be stopped. To make the supply of drug secure the hyperledger framework of blockchain is implemented.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Medical data analysis and transaction type prediction using machine learning and blockchain technology
IET Blockchain Pub Date : 2025-01-29 DOI: 10.1049/blc2.70001
Shruti Maheshwari, Pramod Kumar Jain, Noor T. Al-Sharify, Swagata Ghosh, Dhanraj Dubey, Gagandeep Kaur
{"title":"Medical data analysis and transaction type prediction using machine learning and blockchain technology","authors":"Shruti Maheshwari,&nbsp;Pramod Kumar Jain,&nbsp;Noor T. Al-Sharify,&nbsp;Swagata Ghosh,&nbsp;Dhanraj Dubey,&nbsp;Gagandeep Kaur","doi":"10.1049/blc2.70001","DOIUrl":"https://doi.org/10.1049/blc2.70001","url":null,"abstract":"<p>In the world of healthcare, joining machine learning with block chain tech offers a smart path for future predictions. The study aims on guessing what kinds of transactions happen in healthcare data stored on a block chain. Machine learning is used to sort these transactions right. This helps make healthcare tasks work on their own and do better. Health data is taken from block chains, looked at it closely, and ran various algorithms on it. Using features such as operation, date, and symbolic indicators, logistic regression, decision tree, random forest, and support vector machine are applied to classify transaction types. The decision tree algorithm achieved the highest accuracy at 89.29%, followed by random forest at 67.86%, logistic regression at 33.93%, and support vector machine at 39.29%. The findings demonstrate the effectiveness of machine learning in improving transaction classification within secure, decentralized medical data environments.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blockchain in healthcare: Bridging the business value and patient benefit
IET Blockchain Pub Date : 2025-01-28 DOI: 10.1049/blc2.70000
Pavlina Kröckel, Nilmini Wickramasinghe, Jule van de Logt, Amir Andargoli, Nalika Ulapane, Freimut Bodendorf
{"title":"Blockchain in healthcare: Bridging the business value and patient benefit","authors":"Pavlina Kröckel,&nbsp;Nilmini Wickramasinghe,&nbsp;Jule van de Logt,&nbsp;Amir Andargoli,&nbsp;Nalika Ulapane,&nbsp;Freimut Bodendorf","doi":"10.1049/blc2.70000","DOIUrl":"https://doi.org/10.1049/blc2.70000","url":null,"abstract":"<p>In today's rapidly evolving technological landscape, the healthcare industry is a pivotal sector that demands continuous innovation. Although extensive research on blockchain technology exists, the literature has predominantly emphasized technical aspects and specific applications within industries. However, a comprehensive exploration of blockchain's business and patient value in healthcare remains limited. This study aims to address this gap by conducting a systematic literature review using the PRISMA framework, analyzing highly cited articles from reputable journals. The findings highlight blockchain's potential to revolutionize patient care and optimize business practices within the healthcare sector. This research provides valuable insights for stakeholders, emphasizing the transformative power of blockchain technology to foster innovation, particularly in public healthcare institutions. The results are presented through a value chain analysis and a mindmap, offering a clear framework that can guide researchers and developers in considering the value of blockchain use cases from multiple perspectives.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Empowering the adoption of blockchain-based cryptocurrency as a payment method: A user-friendly educational approach
IET Blockchain Pub Date : 2025-01-28 DOI: 10.1049/blc2.70002
Ahmed Alrehaili, Martin White, Natalia Beloff
{"title":"Empowering the adoption of blockchain-based cryptocurrency as a payment method: A user-friendly educational approach","authors":"Ahmed Alrehaili,&nbsp;Martin White,&nbsp;Natalia Beloff","doi":"10.1049/blc2.70002","DOIUrl":"https://doi.org/10.1049/blc2.70002","url":null,"abstract":"<p>Organizations are adopting technological innovations to transform payment systems due to challenges with traditional methods, such as slow speed and high fees. These challenges have prompted a shift towards blockchain-based cryptocurrencies. However, cryptocurrency adoption for payments remains limited, especially in Saudi Arabia. This study adapts the technology acceptance model to explore cryptocurrency adoption through the blockchain-based cryptocurrency as a payment method in Saudi Arabia (BCAP-SA) model. Factors within the model are assessed using an experimental vignette-task methodology and surveys. A key component is an educational package, offering comprehensive materials to explain blockchain technology. The findings confirm the reliability of surveys. Most model factors are statistically significant in influencing users’ intention to use cryptocurrency. The study finds that perceived ease of use, perceived usefulness, and perceived trust significantly impact participants’ intentions. Additionally, low transaction fees and age are the most influential factors on the technology acceptance model's core constructs. Statistical analysis indicates that decentralization and anonymity were insignificant and thus excluded from the revised BCAP-SA model. These findings highlight the potential to enhance cryptocurrency adoption in Saudi Arabia. The study's insights can guide strategies to promote wider cryptocurrency usage in the region.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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