Blockchain-Enabled Transaction Scanning Method for Money Laundering Detection

Oad, Ammar; Razaque, Abdul; Tolemyssov, Askar; Alotaibi, Munif; Alotaibi, Bandar; Zhao, Chenglin

doi:10.3390/electronics10151766

Cited by 14 publications

(7 citation statements)

References 26 publications

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“…[44]. Through node grouping technology, nodes are grouped together to provide the ability to set up items for nodes for each corresponding node group or to distribute chains and control roles [45]. By introducing the design of P2P concurrent communication structure between nodes through multichannel via node communication protocol and design of interchannel communication separation structure, we develop frameworks of internode communication through node grouping and multichannel.…”

Section: Methodsmentioning

confidence: 99%

Blockchain Smart Contract to Prevent Forgery of Degree Certificates: Artificial Intelligence Consensus Algorithm

Kim

2022

Electronics

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Certificates are often falsified, such as fake diplomas and forged transcripts. As such, many schools and educational institutions have begun to issue diplomas online. Although diplomas can be issued conveniently anytime, anywhere, there are many cases wherein diplomas are forged through hacking and forgery. This paper deals with the required Blockchain diploma. In addition, we use an automatic translation system, which incorporates natural language processing, to perform verification work that does not require an existing public certificate. The hash algorithm is used to authenticate security. This paper also proposes the use of these security protocols to provide more secure data protection. In addition, each transaction history, whether a diploma is true or not, may be different in length if it is presented in text, but converting it into a hash function means that it is always more than a certain length of SHA-512 or higher. It is then verified using the time stamp values. These chaining codes are designed. This paper also provides the necessary experimental environment. At least 10 nodes are constructed. Blockchain platform development applies and references Blockchain standardization, and a platform test, measurement test, and performance measurement test are conducted to assess the smart contract development and performance measurement. A total of 500 nodes were obtained by averaging 200 times, and a Blockchain-based diploma file was agreed upon at the same time. It shows performance information of about 4100 TPS. In addition, the analysis of artificial intelligence distribution diagram was conducted using a four-point method, and the distribution chart was evenly distributed, confirming the diploma with the highest similarity. The verified values were then analyzed. This paper proposes these natural language processing-based Blockchain algorithms.

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Section: Methodsmentioning

confidence: 99%

Blockchain Smart Contract to Prevent Forgery of Degree Certificates: Artificial Intelligence Consensus Algorithm

Kim

2022

Electronics

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“…By assigning each entity a unique ID, a dual identity is implemented for each entity in the blockchain and IoT network. In addition, through outlier detection, specific malicious activities can be identified [ 24 ]. By integrating blockchain and IoT systems, a transparent, flexible, and secure data transmission system can be achieved for a supply chain [ 25 ].…”

Section: Related Studiesmentioning

confidence: 99%

Blockchained Industry Information Handoff Based on Internet of Things Devices with Intelligent Customized Object Recognition

Jian

Pan

2022

Sensors

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To determine the quality and safety of each product used in manufacturing, the exchange of measured data between machines, operators, production lines, and manufacturing companies is crucial. In this study, we developed a system with customized object recognition capability for the secure blockchain-based transfer of industry information through Internet of Things (IoT) devices. In the proposed system, product history data are transferred through blockchains through artificial intelligence (AI)-based object recognition. Individual objects are recognized and represented using a unique number sequence for use as a private key on a blockchain. The data history can be automatically secured, and all the data are traceable and trackable. The reliability and validity of the proposed system were verified using the Jetson Nano Developer Kit. The proposed AI-based system is a low-cost embedded system. Based on the open-source cloud computing platform, the required computing resources for blockchain computing and storage are available. In an experiment, the proposed system achieved >99% accuracy within 1 s. Furthermore, the computational cost of the proposed system was 10% that of traditional AI systems. The proposed device can be rapidly connected to IoT devices that require limited manual operation and can be adopted in manufacturing and production lines.

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“…Recent areas of application of blockchain often researched in a scientific setting are numerous: [6][7][8][9][10]; distributed electricity markets [11]; healthcare monitoring [12][13][14][15]; money laundering detection [16]; privacy preservation [17][18][19]; vehicular communication [20]; network knowledge transformation [21]; intellectual rights protection [22]; secure wideband spectrum sensing and security enhancements [23,24]; real estate transactions [25]; pharmaceutical industry [26]; and federated learning [27]. Unfortunately, there are few papers on the application of blockchain technology in HE in this and other reference journals, which this article seeks to amend.…”

Section: Introductionmentioning

confidence: 99%

The Potential of Blockchain Technology in Higher Education as Perceived by Students in Serbia, Romania, and Portugal

Kuleto¹,

Bucea-Manea-Ţoniş

et al. 2022

Sustainability

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Lifelong learning approaches that include digital, transversal, and practical skills (i.e., critical thinking, communication, collaboration, information literacy, analytical, metacognitive, reflection, and other research skills) are required in order to be equitable and inclusive and stimulate personal development. Realtime interaction between teachers and students and the ability for students to choose courses from curricula are guaranteed by decentralized online learning. Moreover, through blockchain, it is possible to acquire skills regarding the structure and content while also implementing learning tools. Additionally, documentation validation should be equally crucial to speeding up the process and reducing costs and paperwork. Finally, blockchains are open and inclusive processes that include people and cultures from all walks of life. Learning in Higher Education Institutions (HEI) is facilitated by new technologies, connecting blockchain to sustainability, which helps understand the relationship between technologies and sustainability. Besides serving as a secure transaction system, blockchain technology can help decentralize, provide security and integrity, and offer anonymity and encryption, therefore, promoting a transaction rate increase. This study investigates an alternative in which HEI include a blockchain network to provide the best sustainable education system. Students’ opinions were analyzed, and they considered that blockchain technology had a very positive influence on learning performance.

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Blockchain-Enabled Transaction Scanning Method for Money Laundering Detection

Cited by 14 publications

References 26 publications

Blockchain Smart Contract to Prevent Forgery of Degree Certificates: Artificial Intelligence Consensus Algorithm

Blockchain Smart Contract to Prevent Forgery of Degree Certificates: Artificial Intelligence Consensus Algorithm

Blockchained Industry Information Handoff Based on Internet of Things Devices with Intelligent Customized Object Recognition

The Potential of Blockchain Technology in Higher Education as Perceived by Students in Serbia, Romania, and Portugal

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