{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T05:32:36Z","timestamp":1778823156103,"version":"3.51.4"},"reference-count":55,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T00:00:00Z","timestamp":1669161600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Small and Medium-sized Enterprises (SMEs) and Startups (MSS)","award":["S3246057"],"award-info":[{"award-number":["S3246057"]}]},{"name":"Ministry of Small and Medium-sized Enterprises (SMEs) and Startups (MSS)","award":["P0016977"],"award-info":[{"award-number":["P0016977"]}]},{"name":"Korea Government (MOTIE)","award":["S3246057"],"award-info":[{"award-number":["S3246057"]}]},{"name":"Korea Government (MOTIE)","award":["P0016977"],"award-info":[{"award-number":["P0016977"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Cryptocurrency, often known as virtual or digital currency, is a safe platform and a key component of the blockchain that has recently attracted much interest. Utilizing blockchain technology, bitcoin transactions are recorded in blocks that provide detailed information on all financial transactions. Artificial intelligence (AI) has significant applicability in several industries because of the abundance and processing capacity of large data. One of the main issues is the absence of explanations for AI algorithms in the current decision-making standards. For instance, there is no deep-learning-based reasoning or control for the system\u2019s input or output processes. More particularly, the bias for adversarial attacks on the process interface and learning characterizes existing AI systems. This study suggests an AI-based trustworthy architecture that uses decentralized blockchain characteristics such as smart contracts and trust oracles. The decentralized consensuses of AI predictors are also decided by this system using AI, enabling secure cryptocurrency transactions, and utilizing the blockchain technology and transactional network analysis. By utilizing AI for a thorough examination of a network, this system\u2019s primary objective is to improve the performance of the bitcoin network in terms of transactions and security. In comparison to other state-of-the-art systems, the results demonstrate that the proposed system can achieve very accurate output.<\/jats:p>","DOI":"10.3390\/s22239083","type":"journal-article","created":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T03:58:16Z","timestamp":1669262296000},"page":"9083","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Analysis of the Security and Reliability of Cryptocurrency Systems Using Knowledge Discovery and Machine Learning Methods"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1520-1799","authenticated-orcid":false,"given":"Zeinab","family":"Shahbazi","sequence":"first","affiliation":[{"name":"Department of Mathematics & Informatics, University of Barcelona, 08007 Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1107-9941","authenticated-orcid":false,"given":"Yung-Cheol","family":"Byun","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Major of Electronic Engineering, Institute of Information Science & Technology, Jeju National University, Jeju 63243, Repblic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1038\/s41586-018-0637-6","article-title":"The moral machine experiment","volume":"563","author":"Awad","year":"2018","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1038\/s42256-019-0024-5","article-title":"The evolution of citation graphs in artificial intelligence research","volume":"1","author":"Frank","year":"2019","journal-title":"Nat. Mach. Intell."},{"key":"ref_3","first-page":"1","article-title":"Bridging machine learning and logical reasoning by abductive learning","volume":"32","author":"Dai","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3","DOI":"10.3233\/SW-190368","article-title":"Neural-symbolic integration and the Semantic Web","volume":"11","author":"Hitzler","year":"2020","journal-title":"Semant. Web"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1186\/s42400-019-0027-x","article-title":"Adversarial attack and defense in reinforcement learning-from AI security view","volume":"2","author":"Chen","year":"2019","journal-title":"Cybersecurity"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Ng, J. (2021). An Alternative Rationalisation of Creative AI by De-Familiarising Creativity: Towards an Intelligibility of Its Own Terms. AI for Everyone?, University of Westminster Press.","DOI":"10.16997\/book55.d"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"103627","DOI":"10.1016\/j.artint.2021.103627","article-title":"Knowledge graphs as tools for explainable machine learning: A survey","volume":"302","author":"Tiddi","year":"2022","journal-title":"Artif. Intell."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"De Raedt, L., Duman\u010di\u0107, S., Manhaeve, R., and Marra, G. (2020). From statistical relational to neuro-symbolic artificial intelligence. arXiv.","DOI":"10.24963\/ijcai.2020\/688"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"37848","DOI":"10.1109\/ACCESS.2022.3162858","article-title":"Machine Learning-Based Analysis of Cryptocurrency Market Financial Risk Management","volume":"10","author":"Shahbazi","year":"2022","journal-title":"IEEE Access"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Cunha, P.R., Melo, P., and Sebasti\u00e3o, H. (2021). From Bitcoin to Central Bank Digital Currencies: Making Sense of the Digital Money Revolution. Future Internet, 13.","DOI":"10.3390\/fi13070165"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Shahbazi, Z., and Byun, Y.C. (2022). Knowledge Discovery on Cryptocurrency Exchange Rate Prediction Using Machine Learning Pipelines. Sensors, 22.","DOI":"10.3390\/s22051740"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"N\u00e1\u00f1ez Alonso, S.L., Echarte Fern\u00e1ndez, M.\u00c1., Sanz Bas, D., and Kaczmarek, J. (2020). Reasons fostering or discouraging the implementation of central bank-backed digital currency: A review. Economies, 8.","DOI":"10.3390\/economies8020041"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"21","DOI":"10.3389\/fenrg.2019.00021","article-title":"Is bitcoin the only problem? a scenario model for the power demand of blockchains","volume":"7","author":"Zade","year":"2019","journal-title":"Front. Energy Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1038\/s41893-018-0152-7","article-title":"Quantification of energy and carbon costs for mining cryptocurrencies","volume":"1","author":"Krause","year":"2018","journal-title":"Nat. Sustain."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Shahbazi, Z., and Byun, Y.C. (2022). NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph19127027"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"N\u00e1\u00f1ez Alonso, S.L., Jorge-V\u00e1zquez, J., Echarte Fern\u00e1ndez, M.\u00c1., and Reier Forradellas, R.F. (2021). Cryptocurrency mining from an economic and environmental perspective. Analysis of the most and least sustainable countries. Energies, 14.","DOI":"10.3390\/en14144254"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Kar, M. (2022). Blockchain Technology and Cryptocurrency: Current Situation and Future Prospects. Blockchain Technology, CRC Press.","DOI":"10.1201\/9781003138082-2"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"5790","DOI":"10.1109\/ACCESS.2021.3139586","article-title":"Blockchain-based event detection and trust verification using natural language processing and machine learning","volume":"10","author":"Shahbazi","year":"2021","journal-title":"IEEE Access"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"AlShamsi, M., Salloum, S.A., Alshurideh, M., and Abdallah, S. (2021). Artificial intelligence and blockchain for transparency in governance. Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications, Springer.","DOI":"10.1007\/978-3-030-51920-9_11"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.comcom.2021.09.029","article-title":"AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems","volume":"181","author":"Latif","year":"2022","journal-title":"Comput. Commun."},{"key":"ref_21","first-page":"3797","article-title":"Decentralised Artificial Intelligence Enabled Blockchain Network Model","volume":"12","author":"Kumaresh","year":"2021","journal-title":"Turk. J. Comput. Math. Educ. (Turcomat)"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Nyame, G., Qin, Z., Obour Agyekum, K.O.B., and Sifah, E.B. (2020). An ECDSA approach to access control in knowledge management systems using blockchain. Information, 11.","DOI":"10.3390\/info11020111"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"107439","DOI":"10.1016\/j.ijpe.2019.07.012","article-title":"Supply chain digitisation trends: An integration of knowledge management","volume":"220","author":"Schniederjans","year":"2020","journal-title":"Int. J. Prod. Econ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"e4268","DOI":"10.1002\/ett.4268","article-title":"Artificial intelligence and blockchain: A review","volume":"32","author":"Hussain","year":"2021","journal-title":"Trans. Emerg. Telecommun. Technol."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Sharma, Y., Balamurugan, B., Snegar, N., and Ilavendhan, A. (2021). How IoT, AI, and Blockchain Will Revolutionize Business. Blockchain, Internet of Things, and Artificial Intelligence, CRC.","DOI":"10.1201\/9780429352898-13"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"6367","DOI":"10.1109\/TII.2019.2917307","article-title":"Making knowledge tradable in edge-AI enabled IoT: A consortium blockchain-based efficient and incentive approach","volume":"15","author":"Lin","year":"2019","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Caldarelli, G., Rossignoli, C., and Zardini, A. (2020). Overcoming the blockchain oracle problem in the traceability of non-fungible products. Sustainability, 12.","DOI":"10.3390\/su12062391"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1007\/s10799-020-00317-1","article-title":"Data privacy-preserving distributed knowledge discovery based on the blockchain","volume":"21","author":"Lee","year":"2020","journal-title":"Inf. Technol. Manag."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Ascigil, O., Re\u00f1\u00e9, S., Kr\u00f3l, M., Pavlou, G., Zhang, L., Hasegawa, T., Koizumi, Y., and Kita, K. (2019, January 24\u201326). Towards peer-to-peer content retrieval markets: Enhancing IPFS with ICN. Proceedings of the 6th ACM Conference on Information-Centric Networking, Macao, China.","DOI":"10.1145\/3357150.3357403"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"de Figueiredo, S., Madhusudan, A., Reniers, V., Nikova, S., and Preneel, B. (2021, January 22\u201326). Exploring the storj network: A security analysis. Proceedings of the 36th Annual ACM Symposium on Applied Computing, Virtual Event.","DOI":"10.1145\/3412841.3441908"},{"key":"ref_31","first-page":"5701258","article-title":"A Fair and Privacy-Preserving Image Trading System Based on Blockchain and Group Signature","volume":"2021","author":"Wang","year":"2021","journal-title":"Secur. Commun. Netw."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1508","DOI":"10.1109\/COMST.2019.2894727","article-title":"Integrated blockchain and edge computing systems: A survey, some research issues and challenges","volume":"21","author":"Yang","year":"2019","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"10127","DOI":"10.1109\/ACCESS.2018.2890507","article-title":"Blockchain for AI: Review and open research challenges","volume":"7","author":"Salah","year":"2019","journal-title":"IEEE Access"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"108327","DOI":"10.1016\/j.cie.2022.108327","article-title":"Improving blockchain performance in clinical trials using intelligent optimal transaction traffic control mechanism in smart healthcare applications","volume":"170","author":"Jamil","year":"2022","journal-title":"Comput. Ind. Eng."},{"key":"ref_35","unstructured":"Team, N.A. (2018). Decentralized Ai Blockchain Whitepaper, NEBULA AI (NBAI)."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1109\/MC.2018.3620971","article-title":"Ai and blockchain: A disruptive integration","volume":"51","author":"Dinh","year":"2018","journal-title":"Computer"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.jpdc.2020.05.004","article-title":"Blockchain and AI amalgamation for energy cloud management: Challenges, solutions, and future directions","volume":"143","author":"Kumari","year":"2020","journal-title":"J. Parallel Distrib. Comput."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Alkhammash, I., and Halboob, W. (2021). A Bitcoin Wallet Security System (BWSS). ITNG 2021 18th International Conference on Information Technology-New Generations, Springer.","DOI":"10.1007\/978-3-030-70416-2_54"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1016\/j.future.2016.05.018","article-title":"Secure and anonymous decentralized Bitcoin mixing","volume":"80","author":"Ziegeldorf","year":"2018","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Canetti, R., Gennaro, R., Goldfeder, S., Makriyannis, N., and Peled, U. (2020, January 9\u201313). UC non-interactive, proactive, threshold ECDSA with identifiable aborts. Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event.","DOI":"10.1145\/3372297.3423367"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Liu, X., Susilo, W., and Baek, J. (2021). Secure Computation of Shared Secrets and Its Applications. International Conference on Information Security Applications, Springer.","DOI":"10.1007\/978-3-030-89432-0_10"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"37229","DOI":"10.1109\/ACCESS.2021.3062652","article-title":"Knowledge discovery in cryptocurrency transactions: A survey","volume":"9","author":"Liu","year":"2021","journal-title":"IEEE Access"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Biradar, U.B., Khamari, L., and Bhate, J. (2021). Artificial Intelligence-Led Content Publishing, Metadata Creation, and Knowledge Discovery: In Quest of Sustainable and Profitable Business Models. Transforming Scholarly Publishing with Blockchain Technologies and AI, IGI Global.","DOI":"10.4018\/978-1-7998-5589-7.ch010"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"116","DOI":"10.21522\/TIJAR.2014.04.02.Art012","article-title":"A Critical Review of Cryptocurrency Systems","volume":"4","author":"Shrivas","year":"2017","journal-title":"Texila Int. J. Acad. Res."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"35398","DOI":"10.1109\/ACCESS.2022.3163305","article-title":"DL-GuesS: Deep Learning and Sentiment Analysis-based Cryptocurrency Price Prediction","volume":"10","author":"Parekh","year":"2022","journal-title":"IEEE Access"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"106582","DOI":"10.1016\/j.compeleceng.2020.106582","article-title":"Reliability analysis for blockchain oracles","volume":"83","author":"Lo","year":"2020","journal-title":"Comput. Electr. Eng."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"tyy003","DOI":"10.1093\/cybsec\/tyy003","article-title":"Determining an optimal threshold on the online reserves of a bitcoin exchange","volume":"4","author":"Jain","year":"2018","journal-title":"J. Cybersecur."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Zhang, B., Li, X., Ren, H., and Gu, J. (2019). Semantic Knowledge Sharing Mechanism Based on Blockchain. The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, Springer.","DOI":"10.1007\/978-3-030-32591-6_13"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"2601","DOI":"10.1109\/TDSC.2019.2958901","article-title":"Building a secure knowledge marketplace over crowdsensed data streams","volume":"18","author":"Cai","year":"2019","journal-title":"IEEE Trans. Dependable Secur. Comput."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Singh, S., and Singh, N. (2016, January 14\u201317). Blockchain: Future of financial and cyber security. Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), Noida, India.","DOI":"10.1109\/IC3I.2016.7918009"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1625","DOI":"10.1109\/TPAMI.2017.2723882","article-title":"Joint semantic and latent attribute modelling for cross-class transfer learning","volume":"40","author":"Peng","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_52","first-page":"5718","article-title":"Hybrid-learning-based classification and quantitative inference of driver braking intensity of an electrified vehicle","volume":"67","author":"Lv","year":"2018","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1722","DOI":"10.1109\/TII.2018.2804917","article-title":"Experimentable digital twins\u2014Streamlining simulation-based systems engineering for industry 4.0","volume":"14","author":"Schluse","year":"2018","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1145\/3239550","article-title":"Fintech: AI powers financial services to improve people\u2019s lives","volume":"61","author":"Qi","year":"2018","journal-title":"Commun. ACM"},{"key":"ref_55","unstructured":"Feurer, M., Eggensperger, K., Falkner, S., Lindauer, M., and Hutter, F. (2018, January 10\u201315). Practical automated machine learning for the automl challenge 2018. Proceedings of the International Workshop on Automatic Machine Learning at ICML, Stockholm, Sweden."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/23\/9083\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:24:54Z","timestamp":1760145894000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/23\/9083"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,23]]},"references-count":55,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["s22239083"],"URL":"https:\/\/doi.org\/10.3390\/s22239083","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,23]]}}}