IET Blockchain最新文献_第6页

Exploring Human Resource Managers' Perspectives on Blockchain Technology Adoption in the Automobile Industry: An Indian Study 人力资源管理者对汽车行业区块链技术采用的看法：一项印度研究

IET Blockchain Pub Date : 2026-02-10 DOI: 10.1049/blc2.70033

Priya Chanda, Sukanta Ghosh, Sangeeta Dhankhar, Mahender Singh Kaswan, Jose Arturo Garza-Reyes

{"title":"Exploring Human Resource Managers' Perspectives on Blockchain Technology Adoption in the Automobile Industry: An Indian Study","authors":"Priya Chanda, Sukanta Ghosh, Sangeeta Dhankhar, Mahender Singh Kaswan, Jose Arturo Garza-Reyes","doi":"10.1049/blc2.70033","DOIUrl":"10.1049/blc2.70033","url":null,"abstract":"This study presents human resource (HR) managers’ perceptions of blockchain adoption in India's automobile industry. An exploratory mixed-method design consisting of qualitative and quantitative study was employed, involving 110 semi-structured interviews with HR managers and their responses were used. Data collection and analysis followed a three-phase design and thematic analysis was conducted using Braun and Clarke's six-step framework with support from NVivo 12. To enhance reliability, two coders independently reviewed 25% of transcripts, achieving 87% intercoder agreement; saturation was reached by the 98th interview. The study uses the technique for order preference by similarity to the ideal solution approach to prioritise the perceived benefits and challenges to the adoption of blockchain technology. Findings highlight blockchain's potential for data security, recruitment, compliance and transparency, alongside challenges of technical complexity, cost, regulatory uncertainty and limited skills. Based on these insights, a conceptual framework and architectural model are proposed for blockchain-enabled HR processes. This study provides one of the first large-scale, nationwide, HR-focused qualitative and quantitative mappings of blockchain adoption in India, contributing to debates on digital adoption, supply chain resilience and organisational change.","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146680280","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

C 3 C r o w d $C^3Crowd$ : Crowd Contributor and Consumer Framework for Secure Crowd Management Using Blockchain C^3Crowd$：使用区块链的安全人群管理的人群贡献者和消费者框架

IET Blockchain Pub Date : 2026-02-05 DOI: 10.1049/blc2.70032

Sukanta Chakraborty, Abhishek Majumder

{"title":"C\u0000 3\u0000 \u0000 C\u0000 r\u0000 o\u0000 w\u0000 d\u0000 \u0000 $C^3Crowd$\u0000 : Crowd Contributor and Consumer Framework for Secure Crowd Management Using Blockchain","authors":"Sukanta Chakraborty, Abhishek Majumder","doi":"10.1049/blc2.70032","DOIUrl":"10.1049/blc2.70032","url":null,"abstract":"Over the years, numerous efforts have been undertaken to accurately forecast traffic conditions and thereby preventing additional congestion. However, existing crowd management techniques focus on recognizing and counting the crowd while leaving the security of crowd information. A typical crowd management system is centralized and faces challenges, such as contributor selection reliability, fair payment evaluation, privacy concerns and high deployment costs. This study investigates security concerns in crowd management and evaluates the potential of blockchain technology to improve crowd management security. Combining the power of blockchain (decentralization and security) and smart contracts, this work proposes a secure crowd management architecture named <math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>C</mi>\u0000 <mn>3</mn>\u0000 </msup>\u0000 <mi>C</mi>\u0000 <mi>r</mi>\u0000 <mi>o</mi>\u0000 <mi>w</mi>\u0000 <mi>d</mi>\u0000 </mrow>\u0000 <annotation>$C^3Crowd$</annotation>\u0000 </semantics></math>. The <math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>C</mi>\u0000 <mn>3</mn>\u0000 </msup>\u0000 <mi>C</mi>\u0000 <mi>r</mi>\u0000 <mi>o</mi>\u0000 <mi>w</mi>\u0000 <mi>d</mi>\u0000 </mrow>\u0000 <annotation>$C^3Crowd$</annotation>\u0000 </semantics></math> framework operates on blockchain, utilizes cryptographic algorithms, and incorporates reputation management along with credit distribution through smart contracts. <math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>C</mi>\u0000 <mn>3</mn>\u0000 </msup>\u0000 <mi>C</mi>\u0000 <mi>r</mi>\u0000 <mi>o</mi>\u0000 <mi>w</mi>\u0000 <mi>d</mi>\u0000 </mrow>\u0000 <annotation>$C^3Crowd$</annotation>\u0000 </semantics></math> effectively safeguards crowd data while its revenue structure entices users to actively contribute to the system. <math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>C</mi>\u0000 <mn>3</mn>\u0000 </msup>\u0000 <mi>C</mi>\u0000 <mi>r</mi>\u0000 <mi>o</mi>\u0000 <mi>w</mi>\u0000 <mi>d</mi>\u0000 </mrow>\u0000 <annotation>$C^3Crowd$</annotation>\u0000 </semantics></math> has been simulated on GoQuorum's Ethereum private ","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162475","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 Communication Networks: A Comprehensive Review 区块链在通信网络中的应用综述

IET Blockchain Pub Date : 2026-02-05 DOI: 10.1049/blc2.70031

Quazi Mamun, Zhenni Pan, Jun Wu

{"title":"Blockchain in Communication Networks: A Comprehensive Review","authors":"Quazi Mamun, Zhenni Pan, Jun Wu","doi":"10.1049/blc2.70031","DOIUrl":"10.1049/blc2.70031","url":null,"abstract":"Blockchain is emerging as a trust substrate for multi-operator communication networks where centralised control can hinder auditability, settlement, and cross-domain security. This survey consolidates blockchain fundamentals relevant to telecom (consensus, cryptography, smart contracts, and governance) and synthesises how these primitives enable secure logs, automated roaming/settlement, decentralised identity, resource trading, and 5G/6G slicing and edge computing. The authors introduce an end-to-end taxonomy that maps blockchain mechanisms to network functions and cross-cutting constraints and provide comparative evidence from representative studies on performance (latency/throughput), operational cost, and deployment maturity. A structured literature search and screening process over major digital libraries yields a curated corpus spanning 2015–2025, with emphasis on recent advances in permissioned and hybrid designs suited to low-latency networking. The review identifies persistent gaps – scalability under high churn, energy and hardware overhead, interoperability across chains and legacy control planes, and regulatory compliance – and distils actionable research directions, including AI-assisted consensus, cross-chain orchestration for multi-domain slicing, and privacy-preserving accountability. Finally, case studies illustrate practical design trade-offs and highlight when blockchain provides a net benefit over conventional databases.","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146154790","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

IET Blockchain Pub Date : 2026-02-05

引用次数: 0

IET Blockchain Pub Date : 2026-02-05

引用次数: 0

C 3 C r o w d $C^3Crowd$ : Crowd Contributor and Consumer Framework for Secure Crowd Management Using Blockchain C^3Crowd$：使用区块链的安全人群管理的人群贡献者和消费者框架

IET Blockchain Pub Date : 2026-02-05 DOI: 10.1049/blc2.70032

Sukanta Chakraborty, Abhishek Majumder

{"title":"C\u0000 3\u0000 \u0000 C\u0000 r\u0000 o\u0000 w\u0000 d\u0000 \u0000 $C^3Crowd$\u0000 : Crowd Contributor and Consumer Framework for Secure Crowd Management Using Blockchain","authors":"Sukanta Chakraborty, Abhishek Majumder","doi":"10.1049/blc2.70032","DOIUrl":"10.1049/blc2.70032","url":null,"abstract":"Over the years, numerous efforts have been undertaken to accurately forecast traffic conditions and thereby preventing additional congestion. However, existing crowd management techniques focus on recognizing and counting the crowd while leaving the security of crowd information. A typical crowd management system is centralized and faces challenges, such as contributor selection reliability, fair payment evaluation, privacy concerns and high deployment costs. This study investigates security concerns in crowd management and evaluates the potential of blockchain technology to improve crowd management security. Combining the power of blockchain (decentralization and security) and smart contracts, this work proposes a secure crowd management architecture named <math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>C</mi>\u0000 <mn>3</mn>\u0000 </msup>\u0000 <mi>C</mi>\u0000 <mi>r</mi>\u0000 <mi>o</mi>\u0000 <mi>w</mi>\u0000 <mi>d</mi>\u0000 </mrow>\u0000 <annotation>$C^3Crowd$</annotation>\u0000 </semantics></math>. The <math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>C</mi>\u0000 <mn>3</mn>\u0000 </msup>\u0000 <mi>C</mi>\u0000 <mi>r</mi>\u0000 <mi>o</mi>\u0000 <mi>w</mi>\u0000 <mi>d</mi>\u0000 </mrow>\u0000 <annotation>$C^3Crowd$</annotation>\u0000 </semantics></math> framework operates on blockchain, utilizes cryptographic algorithms, and incorporates reputation management along with credit distribution through smart contracts. <math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>C</mi>\u0000 <mn>3</mn>\u0000 </msup>\u0000 <mi>C</mi>\u0000 <mi>r</mi>\u0000 <mi>o</mi>\u0000 <mi>w</mi>\u0000 <mi>d</mi>\u0000 </mrow>\u0000 <annotation>$C^3Crowd$</annotation>\u0000 </semantics></math> effectively safeguards crowd data while its revenue structure entices users to actively contribute to the system. <math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>C</mi>\u0000 <mn>3</mn>\u0000 </msup>\u0000 <mi>C</mi>\u0000 <mi>r</mi>\u0000 <mi>o</mi>\u0000 <mi>w</mi>\u0000 <mi>d</mi>\u0000 </mrow>\u0000 <annotation>$C^3Crowd$</annotation>\u0000 </semantics></math> has been simulated on GoQuorum's Ethereum private ","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162391","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

From Concept to Practice: A Blockchain-Based Solution for Secure and Efficient Academic Credentials in Higher Education 从概念到实践：基于区块链的高等教育安全高效学历证书解决方案

IET Blockchain Pub Date : 2026-01-31 DOI: 10.1049/blc2.70030

Avni Rustemi, Fisnik Dalipi

{"title":"From Concept to Practice: A Blockchain-Based Solution for Secure and Efficient Academic Credentials in Higher Education","authors":"Avni Rustemi, Fisnik Dalipi","doi":"10.1049/blc2.70030","DOIUrl":"10.1049/blc2.70030","url":null,"abstract":"The generation and verification of academic credentials, particularly diplomas, is crucial for the secure functioning, enhanced legitimacy and confidentiality of higher education institutions (HEIs). Digitising the internal services of HEIs is of great importance, as it mitigates the potential abuse of diplomas and other important documents. The prevalence of forgery attempts highlights the need for robust verification methods. In this regard, blockchain technology can be considered as a solution due to its capability to ensure the immutability, decentralisation, security and transparency of all documents stored on the blockchain network or storage. In this paper, we aim to move from concept to practical implementation of a blockchain-based framework for generating and verifying diplomas, named Diploma Integrity Authentication Record (DIAR), which, in addition to the digitalisation of diplomas and academic documents, also enables their fast, secure, and cost-effective verification. Through the paper, we describe in detail the process of practical implementation of the DIAR framework, presenting the smart contract for generating and verifying diplomas, the process of encrypting and storing diplomas as non-fungible tokens on the blockchain network or storage. At the same time, the challenges of practical implementation are also described, which are predominantly related to the scarcity of blockchain solutions for generating and verifying diplomas in HEIs. Significant attention and emphasis are placed on the legal matters pertaining to the implementation and safeguarding of students' identification and data privacy.","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146155290","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

IET Blockchain Pub Date : 2026-01-31

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Metaheuristic-Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models b区块链欺诈检测的元启发式驱动特征选择：机器和深度学习模型的比较研究

IET Blockchain Pub Date : 2026-01-31 DOI: 10.1049/blc2.70029

Hibatou allah Boulsane, Karim Afdel

{"title":"Metaheuristic-Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models","authors":"Hibatou allah Boulsane, Karim Afdel","doi":"10.1049/blc2.70029","DOIUrl":"10.1049/blc2.70029","url":null,"abstract":"Blockchain ecosystems such as Bitcoin and Ethereum are increasingly exposed to fraudulent and anomalous activities, creating a need for reliable detection methods under severe class imbalance. Although recent studies have applied machine learning (ML) and deep learning (DL) models, many rely on accuracy-oriented evaluation and do not systematically examine feature selection, stability, and decision thresholding. In this work, we study metaheuristic feature selection using Aquila Optimiser (AO), Fox Optimiser (FOX) and Artificial Bee Colony (ABC) to improve the performance–parsimony trade-off in blockchain fraud detection. Using public Bitcoin and Ethereum datasets, we benchmark a diverse set of models (e.g., RF, XGB, LightGBM, FTTransformer and SAINT) with imbalance-aware metrics (PR–AUC and Precision@G1), alongside ROC–AUC for completeness. We further compare threshold-selection strategies on a validation set and assess feature-subset stability across multiple runs. Our results show that ABC-selected subsets substantially reduce the number of features and training time while maintaining–often improving–predictive performance relative to full feature sets. Overall, metaheuristic-driven feature reduction yields compact and stable feature subsets that support consistent and efficient blockchain fraud detection across ML and tabular DL pipelines.","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146140243","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

IET Blockchain Pub Date : 2026-01-31

引用次数: 0