IET Blockchain最新文献

{"title":"Towards secure and resilient unmanned aerial vehicles swarm network based on blockchain","authors":"Xin Zhou,&nbsp;Lin Yang,&nbsp;Linru MA,&nbsp;Huasen He","doi":"10.1049/blc2.12050","DOIUrl":"10.1049/blc2.12050","url":null,"abstract":"<p>Blockchain, as an emerging technology, has found diverse applications in solving trust issues in multi-party cooperation. The field of Unmanned Aerial Vehicle (UAV) swarm networks is no exception, as UAVs are susceptible to attacks from malicious counterparts due to limited computing and storage resources. In this paper, the authors present an adaptive networking mechanism for UAVs based on blockchain technology, which incorporates three key technologies. Utilizing Global Unique Identifier (GUID) and block storage, UAVs can achieve rapid identity authentication and efficient swarm switching. By evaluating node participation in block consensus, malicious nodes within the UAV swarm can be accurately identified. Additionally, routing learning based on node security attributes and link quality ensures secure and efficient data transmission. Simulation test results demonstrate the practicality and applicability of the proposed blockchain-based adaptive networking mechanism for UAV swarm networks.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"4 S1","pages":"483-493"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.12050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136233187","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}

{"title":"Personalized federated learning via directed acyclic graph based blockchain","authors":"Chenglong Huang,&nbsp;Erwu Liu,&nbsp;Rui Wang,&nbsp;Yan Liu,&nbsp;Hanfu Zhang,&nbsp;Yuanzhe Geng,&nbsp;Jie Wang,&nbsp;Shaoyi Han","doi":"10.1049/blc2.12054","DOIUrl":"10.1049/blc2.12054","url":null,"abstract":"<p>Common federated learning (FL) lacks consideration of clients' personalized requirements, which performs poorly for the scenario with data and resource heterogeneity. In order to overcome the challenge of heterogeneous characteristics, this letter proposes a novel decentralized personalized federated learning (PFL) architecture that first utilizes a directed acyclic graph (DAG) blockchain technology to achieve PFL efficiently, which is called PFLDAG. Simulation results demonstrate that PFLDAG approximately improves accuracy by 80% compared with the classic Google FedAvg algorithm, and by 10% compared with IFCA cluster PFL which considers personalized requirements. In addition, the approach also substantially improves the convergence speed.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"4 1","pages":"73-82"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.12054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218227","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}

{"title":"Security and privacy issues in blockchain and its applications","authors":"Liangmin Wang,&nbsp;Victor S. Sheng,&nbsp;Boris Düdder,&nbsp;Haiqin Wu,&nbsp;Huijuan Zhu","doi":"10.1049/blc2.12051","DOIUrl":"10.1049/blc2.12051","url":null,"abstract":"<p>Blockchain technology has emerged and evolved as a disruptive technology with the potential to be applied in various fields, including digital finance, healthcare, and the Internet of Things (IoT). Besides being a distributed ledger, blockchain enables decentralized and trusted storage/computation without relying on a central trusted party. However, the growing heterogeneity of blockchain platforms and the expanding range of applications have resulted in escalating security and privacy concerns. These concerns encompass persistent privacy breaches, vulnerabilities in smart contracts, and the “impossible triangle” problem. These challenges have emerged as the primary obstacles to the development and seamless integration of blockchain technology with industry applications.</p><p>To address the security and privacy challenges in blockchain platforms and its applications, numerous researchers have conducted extensive studies in this field by leveraging advanced technologies, including new cryptographic protocols and deep learning techniques. This special issue aims to highlight research perspectives, articles, and experimental studies pertaining to “Security and Privacy Issues in Blockchain and Its Applications”.</p><p>In this special issue, we received a total of 19 papers, out of which 17 underwent a rigorous peer-review process. However, two papers were excluded from the peer-reviewed selection because one was submitted in a draft form and the other was voluntarily withdrawn by the authors. Out of the 17 papers submitted for review, 10 were accepted for publication, six were rejected without being transferred, and one was rejected and referred to a transfer service. The exceptional quality of all the submissions played a crucial role in ensuring the success of this special issue.</p><p>These accepted papers can be classified into two categories, namely blockchain application security and cross-chain interaction security. The papers in the first category focus on analyzing and providing insights into the security of blockchain applications. Their objective is to keep readers informed about the latest trends, developments, challenges, and opportunities in blockchain application security. Moreover, significant research efforts have been dedicated to security analysis and detection in typical blockchain applications. The papers in this category are of Zhou et al., Grybniak et al., Lv et al., Li et al., Gong et al., Xiao et al. and Videira et al. These contributions further enhance our understanding and capability to safeguard blockchain applications from potential security threats. The second category of papers presents novel solutions that target the enhancement of security in cross-system interactions. These papers are of Feng et al., Xu et al. and Yu et al. By addressing the specific challenges associated with cross-system communication, these solutions contribute to the development of robust and secure blockchain networks. A brief presentation ","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"3 4","pages":"169-171"},"PeriodicalIF":0.0,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.12051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135511811","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}

{"title":"Decentralized trustworthiness score management with smart contracts on the trustlend platform","authors":"Wisnu Uriawan,&nbsp;Youakim Badr,&nbsp;Omar Hasan,&nbsp;Lionel Brunie","doi":"10.1049/blc2.12053","DOIUrl":"10.1049/blc2.12053","url":null,"abstract":"<p>The personal lending marketplace, known as Peer-to-Peer (P2P) lending, has increased globally. However, providing unsecured loans to peers without requiring collateral remains a challenge. A platform called TrustLend is proposed to enable trustworthy transactions in the personal lending application. The platform attempts to eliminate or minimize the collateral requirement. The trustworthiness score adds to this platform's variable selection rules and can help lenders decide on reliable candidates as borrowers. The prototype implementing the TrustLend platform based on Ethereum smart contracts that use the trustworthiness score is also described and it is illustrated with a Decentralized Application (DApp) case study and customized smart contracts. The prototype demonstrates fundamental features and supports borrowers, lenders, and recommenders in establishing proposals and approvals. Finally, the prototype shows how end-users can easily access loans with reduced collateral without hidden costs and swift transactions.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"4 1","pages":"59-72"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.12053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135730786","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}

{"title":"A blockchain-based user authorization management method for information exchanging of federation of industry and commerce","authors":"Jingqi Yang,&nbsp;Hanqing Li","doi":"10.1049/blc2.12052","DOIUrl":"10.1049/blc2.12052","url":null,"abstract":"<p>The blockchain does not need the central organization to make trust endorsement, which is suitable for large scale information exchange between different regions. In addition, blockchain has the characteristics of decentralization and tamper resistant, so that it no longer needs an intermediary platform. A blockchain-based user authorization management method is proposed, which applies blockchain as an underlaying security mechanism for distributed user authorization management within a trusted community of a distributed information exchange sites of federation of industry and commerce. This method can ensure the reliability, consistency, and integrity of user authorization information. With this method, an elastic data exchange trusted community can be built between the data owner and the authorized data user according to the data exchange needs to achieve reliable distributed access authorization.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"4 S1","pages":"632-643"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.12052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136359387","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}

{"title":"Phishing detection on Ethereum via transaction subgraphs embedding","authors":"Haifeng Lv,&nbsp;Yong Ding","doi":"10.1049/blc2.12034","DOIUrl":"10.1049/blc2.12034","url":null,"abstract":"<p>With the rapid development of blockchain technology in the financial sector, the security of blockchain is being put to the test due to an increase in phishing fraud. Therefore, it is essential to study more effective measures and better solutions. Graph models have been proven to provide abundant information for downstream assignments. In this study, a graph-based embedding classification method is proposed for phishing detection on Ethereum by modeling its transaction records using subgraphs. Initially, the transaction data of normal addresses and an equal number of confirmed phishing addresses are collected through web crawling. Multiple subgraphs using the collected transaction records are constructed, with each subgraph containing a target address and its nearby transaction network. To extract features of the addresses, a modified Graph2Vec model called imgraph2vec is designed, which considers block height, timestamp, and amount of transactions. Finally, the Extreme Gradient Boosting (XGBoost) algorithm is employed to detect phishing and normal addresses. The experimental results show that the proposed method achieves good performance in phishing detection, indicating the effectiveness of imgraph2vec in feature acquisition of transaction networks compared to existing models.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"3 4","pages":"194-203"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.12034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135645045","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}

{"title":"The offline cash puzzle solved by a local blockchain","authors":"Henrique de Carvalho Videira","doi":"10.1049/blc2.12049","DOIUrl":"10.1049/blc2.12049","url":null,"abstract":"<p>A major drawback in deploying central bank digital currencies (CBDC) is the offline puzzle, which requires that a CBDC must keep the liquidity provision given by cash, and, simultaneously, avoid double-spending, cloning, and other issues. The puzzle is solved by minting the coins in serial numbers, which are stored on a local blockchain inside a smartphone or EMV card. The local blockchain is strengthened by a two-stage approval architecture that mitigates attacks and enables non-repudiation handling. The coins are protected by hardware keys embedded in the microchip and can be continuously mined by the wallet to enhance security. The coins can be either minted as hot coins, which can be retrieved in case of loss, or minted as cold coins, like physical cash.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"4 1","pages":"43-58"},"PeriodicalIF":0.0,"publicationDate":"2023-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.12049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135926225","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}

{"title":"ChainKeeper: A cross-chain scheme for governing the chain by chain","authors":"Yuwei Xu,&nbsp;Ran He,&nbsp;Shengjiang Dai,&nbsp;Yujian Zhang","doi":"10.1049/blc2.12047","DOIUrl":"10.1049/blc2.12047","url":null,"abstract":"<p>With the rapid application of consortium chains, supervising these systems has become a challenge for governments. The centralized model fails to deliver supervision services that are both open and transparent. Given the benefits of decentralization, non-tampering, and traceability offered by blockchains, researchers propose the concept of ‘governing the chain by chain’, which involves supervising multiple consortium chains by constructing a blockchain. Under this idea, the cross-chain scheme becomes the key to achieving excellent supervision. Existing studies have shortcomings and cannot meet the requirements of universality, security, and efficiency in cross-chain supervision scenarios. Aiming at the challenges, we propose ChainKeeper, a cross-chain scheme for governing the chain by chain. The innovation of our work lies in three points. First, a modular node proxy program is designed to adapt to various implementations of consortium chains. Second, a verifiable node random selection method is put forward to improve the throughput of cross-chain data transmission. Finally, a verifiable identity threshold signature method is proposed to prevent the cheating behavior of malicious nodes. To verify the universality of ChainKeeper, we built a prototype system on three types of consortium chains. The experimental results show that ChainKeeper can achieve high throughput, outperforming two state-of-the-art cross-chain schemes.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"3 4","pages":"249-264"},"PeriodicalIF":0.0,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.12047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77016801","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}

{"title":"SCGformer: Smart contract vulnerability detection based on control flow graph and transformer","authors":"KeXin Gong,&nbsp;Xiangmei Song,&nbsp;Na Wang,&nbsp;Chunyang Wang,&nbsp;Huijuan Zhu","doi":"10.1049/blc2.12046","DOIUrl":"10.1049/blc2.12046","url":null,"abstract":"<p>The security of smart contract has always been one of the significant problems in blockchain. As shown in previous studies, vulnerabilities in smart contracts can lead to unpredictable losses. With the rapid growth of the number of smart contracts, more and more data driven detection technologies based on machine learning have been proposed. However, some state-of-the-art approaches mainly rely on the source code of smart contract. These methods are limited by the openness of the source code and the version of the programming language. To address this problem, we propose a novel vulnerability detection method based on transformer by constructing the control flow graph (CFG) of smart contracts operation codes (opcodes), which shields the difference of various versions of program language. Extensive experiments are conducted to evaluate the effectiveness of the proposed method on the authors' own collected dataset. The experimental results show that the proposed method achieves 94.36% accuracy in vulnerability detection, which performs better than other state-of-the-art methods.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"3 4","pages":"213-221"},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.12046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72942803","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}

{"title":"BlockDetective: A GCN-based student–teacher framework for blockchain anomaly detection","authors":"Jinglin Li,&nbsp;Yihang Zhang,&nbsp;Chun Yang","doi":"10.1049/blc2.12044","DOIUrl":"10.1049/blc2.12044","url":null,"abstract":"<p>The anonymous and tamper-proof nature of the blockchain poses significant challenges in auditing and regulating the behaviour and data on the chain. Criminal activities and anomalies are frequently changing, and fraudsters are devising new ways to evade detection. Moreover, the high volume and complexity of transactions and asymmetric errors make data classification more challenging. Also, class imbalances and high labelling costs are hindering the development of effective algorithms. In response to these issues, the authors present BlockDetective, a novel framework based on GCN that utilizes student–teacher architecture to detect fraudulent cryptocurrency transactions that are related to money laundering. The authors’ method leverages pre-training and fine-tuning, allowing the pre-trained model (teacher) to adapt better to the new data distribution and enhance the prediction performance while teaching a new, light-weight model (student) that provides abstract and top-level information. The authors’ experimental results show that BlockDetective outperforms state-of-the-art research methods by achieving top-notch performance in detecting fraudulent transactions on the blockchain. This framework can assist regulators and auditors in detecting and preventing fraudulent activities on the blockchain, thereby promoting a more secure and transparent financial system.</p>","PeriodicalId":100650,"journal":{"name":"IET Blockchain","volume":"3 4","pages":"204-212"},"PeriodicalIF":0.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/blc2.12044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78749929","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}