Convergence of blockchain, IoT, and machine learning: exploring opportunities and challenges – a systematic review

Convergence of blockchain, IoT, and machine learning: exploring opportunities and challenges – a systematic review

International Journal on Smart Sensing and Intelligent Systems

Volume 18 (2025): Issue 1 (January 2025)

By:

Youssef Aounzou, Abdelhak Boulaalam and Fahd Kalloubi

Open Access

|Jan 2025

References

S. Choudhary and G. Meena, “Internet of Things: Protocols, Applications and Security Issues,” Procedia Computer Science, vol. 215, pp. 274–288, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.procs.2022.12.030" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.procs.2022.12.030</a></pub-id>.
Open DOI Search in Google Scholar Back to article
A. Miglani and N. Kumar, “Blockchain management and machine learning adaptation for IoT environment in 5G and beyond networks: A systematic review,” Computer Communications, vol. 178, no. July 2021, pp. 37–63, 2021, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.comcom.2021.07.009" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.comcom.2021.07.009</a></pub-id>.
Open DOI Search in Google Scholar Back to article
P. Bothra, R. Karmakar, S. Bhattacharya, and S. De, “How can applications of blockchain and artificial intelligence improve performance of Internet of Things? – A survey,” Computer Networks, vol. 224, no. May 2021, p. 109634, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.comnet.2023.109634" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.comnet.2023.109634</a></pub-id>.
Open DOI Search in Google Scholar Back to article
V. V Prabhakar, C. S. Belarmin Xavier, and K. M. Abubeker, “A Review on Challenges and Solutions in the Implementation of Ai, IoT and Blockchain in Construction Industry,” Materials Today: Proceedings, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.matpr.2023.03.535" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.matpr.2023.03.535</a></pub-id>.
Open DOI Search in Google Scholar Back to article
S. Singh, P. K. Sharma, B. Yoon, M. Shojafar, G. H. Cho, and I. H. Ra, “Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city,” Sustainable Cities and Society, vol. 63, no. April, 2020, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.scs.2020.102364" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.scs.2020.102364</a></pub-id>.
Open DOI Search in Google Scholar Back to article
A. Kumari, R. Gupta, and S. Tanwar, “Amalgamation of blockchain and IoT for smart cities underlying 6G communication: A comprehensive review,” Computer Communications, vol. 172, no. October 2020, pp. 102–118, 2021, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.comcom.2021.03.005" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.comcom.2021.03.005</a></pub-id>.
Open DOI Search in Google Scholar Back to article
E. Fazel, M. Z. Nezhad, J. Rezazadeh, M. Moradi, and J. Ayoade, “IoT convergence with machine learning & blockchain: A review,” Internet of Things (Netherlands), vol. 26, no. December 2023, p. 101187, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.iot.2024.101187" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.iot.2024.101187</a></pub-id>.
Open DOI Search in Google Scholar Back to article
N. S. Al-Blihed, N. F. Al-Mufadi, N. T. Al-Harbi, I. A. Al-Omari, and M. A. Al-Hagery, “Blockchain and machine learning in the internet of things: a review of smart healthcare,” IAES International Journal of Artificial Intelligence, vol. 12, no. 3, pp. 995–1006, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.11591/ijai.v12.i3.pp995-1006" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.11591/ijai.v12.i3.pp995-1006</a></pub-id>.
Open DOI Search in Google Scholar Back to article
B. K. Mohanta, D. Jena, U. Satapathy, and S. Patnaik, “Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology,” Internet of Things (Netherlands), vol. 11, p. 100227, 2020, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.iot.2020.100227" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.iot.2020.100227</a></pub-id>.
Open DOI Search in Google Scholar Back to article
T. Nguyen, H. Nguyen, and T. Nguyen Gia, “Exploring the integration of edge computing and blockchain IoT: Principles, architectures, security, and applications,” Journal of Network and Computer Applications, vol. 226, no. September 2023, p. 103884, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.jnca.2024.103884" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.jnca.2024.103884</a></pub-id>.
Open DOI Search in Google Scholar Back to article
A. M. Shamsan Saleh, “Blockchain for secure and decentralized artificial intelligence in cybersecurity: A comprehensive review,” Blockchain: Research and Applications, p. 100193, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.bcra.2024.100193" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.bcra.2024.100193</a></pub-id>.
Open DOI Search in Google Scholar Back to article
P. Pandurangan et al., “Integrating cutting-edge technologies: AI, IoT, blockchain and nanotechnology for enhanced diagnosis and treatment of colorectal cancer - A review,” Journal of Drug Delivery Science and Technology, vol. 91, no. August 2023, p. 105197, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.jddst.2023.105197" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.jddst.2023.105197</a></pub-id>.
Open DOI Search in Google Scholar Back to article
Z. Kamal, M. Lachgar, and H. Hrimech, “Blockchain, IoT and AI in logistics and transportation : A systematic review,” Transport Economics and Management, vol. 2, no. July, pp. 275–285, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.team.2024.09.002" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.team.2024.09.002</a></pub-id>.
Open DOI Search in Google Scholar Back to article
M. Gupta, M. Kumar, and R. Dhir, “Unleashing the prospective of blockchain-federated learning fusion for IoT security: A comprehensive review,” Computer Science Review, vol. 54, no. June, p. 100685, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.cosrev.2024.100685" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.cosrev.2024.100685</a></pub-id>.
Open DOI Search in Google Scholar Back to article
S. Nakamoto, “Bitcoin: A Peer-to-Peer Electronic Cash System,” vol. 15, no. 4, pp. 580–596, 2008.
Search in Google Scholar Back to article
M. Pasqua, A. Benini, F. Contro, M. Crosara, and M. D. Preda, “Enhancing Ethereum smart-contracts static analysis by computing a precise Control-Flow Graph of Ethereum bytecode ☆,” The Journal of Systems & Software, vol. 200, p. 111653, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.jss.2023.111653" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.jss.2023.111653</a></pub-id>.
Open DOI Search in Google Scholar Back to article
T. Guimarãesa et al., “Blockchain Analytics - Real-time Log Management in Healthcare Blockchain Analytics - Real-time Log Management in Healthcare,” vol. 00, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.procs.2022.03.094" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.procs.2022.03.094</a></pub-id>.
Open DOI Search in Google Scholar Back to article
B. Bhushan, A. Khamparia, K. M. Sagayam, S. K. Sharma, M. A. Ahad, and N. C. Debnath, “Blockchain for smart cities: A review of architectures, integration trends and future research directions,” Sustainable Cities and Society, vol. 61, no. March, p. 102360, 2020, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.scs.2020.102360" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.scs.2020.102360</a></pub-id>.
Open DOI Search in Google Scholar Back to article
Y. Shen and X. Zhang, “Factors influencing blockchain adoption in supply chain management practices: A study based on the oil industry,” Journal of Innovation & Knowledge, vol. 8, no. 3, p. 100384, 2023, [Online]. Available: DOI: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.jik.2023.100384" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.jik.2023.100384</a></pub-id>.
Open DOI Search in Google Scholar Back to article
G. Tripathi, M. A. Ahad, and G. Casalino, “A comprehensive review of blockchain technology: Underlying principles and historical background with future challenges,” Decision Analytics Journal, vol. 9, no. March, p. 100344, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.dajour.2023.100344" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.dajour.2023.100344</a></pub-id>.
Open DOI Search in Google Scholar Back to article
M. R. Islam, M. M. Rahman, M. Mahmud, M. A. Rahman, M. H. S. Mohamad, and A. H. Embong, “A Review on Blockchain Security Issues and Challenges,” 2021 IEEE 12th Control and System Graduate Research Colloquium, ICSGRC 2021 - Proceedings, no. August, pp. 227–232, 2021, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1109/ICSGRC53186.2021.9515276" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/ICSGRC53186.2021.9515276</a></pub-id>.
Open DOI Search in Google Scholar Back to article
D. R. Kiran, “Chapter 35 - Internet of Things,” in Production Planning and Control, D. R. Kiran, Ed. Butterworth-Heinemann, 2019, pp. 495–513.
Search in Google Scholar Back to article
E. Gelenbe, M. Nakıp, and T. Czachórski, “Improving Massive Access to IoT Gateways,” Performance Evaluation, vol. 157–158, p. 102308, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.peva.2022.102308" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.peva.2022.102308</a></pub-id>.
Open DOI Search in Google Scholar Back to article
C. K. Rath, A. K. Mandal, and A. Sarkar, “Microservice based scalable IoT architecture for device interoperability,” Computer Standards and Interfaces, vol. 84, no. October 2022, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.csi.2022.103697" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.csi.2022.103697</a></pub-id>.
Open DOI Search in Google Scholar Back to article
S. Rudrakar and P. Rughani, “IoT based Agriculture (Ag-IoT): A detailed study on Architecture, Security and Forensics,” Information Processing in Agriculture, no. August, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.inpa.2023.09.002" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.inpa.2023.09.002</a></pub-id>.
Open DOI Search in Google Scholar Back to article
L. Yang and A. Shami, “IoT data analytics in dynamic environments: From an automated machine learning perspective,” Engineering Applications of Artificial Intelligence, vol. 116, no. August, p. 105366, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.engappai.2022.105366" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.engappai.2022.105366</a></pub-id>.
Open DOI Search in Google Scholar Back to article
P. Akhtar, Z. Khan, S. Tarba, and U. Jayawickrama, “The Internet of Things, dynamic data and information processing capabilities, and operational agility,” Technological Forecasting and Social Change, vol. 136, no. May 2017, pp. 307–316, 2018, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.techfore.2017.04.023" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.techfore.2017.04.023</a></pub-id>.
Open DOI Search in Google Scholar Back to article
I. H. Sarker, “Machine Learning: Algorithms, Real-World Applications and Research Directions,” SN Computer Science, vol. 2, no. 3, pp. 1–21, 2021, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1007/s42979-021-00592-x" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s42979-021-00592-x</a></pub-id>.
Open DOI Search in Google Scholar Back to article
A. U. Osarogiagbon, F. Khan, R. Venkatesan, and P. Gillard, “Review and analysis of supervised machine learning algorithms for hazardous events in drilling operations,” Process Safety and Environmental Protection, vol. 147, pp. 367–384, 2021, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.psep.2020.09.038" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.psep.2020.09.038</a></pub-id>.
Open DOI Search in Google Scholar Back to article
D. del-Pozo-Bueno, D. Kepaptsoglou, F. Peiró, and S. Estradé, “Comparative of machine learning classification strategies for electron energy loss spectroscopy: Support vector machines and artificial neural networks,” Ultramicroscopy, vol. 253, no. July, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.ultramic.2023.113828" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.ultramic.2023.113828</a></pub-id>.
Open DOI Search in Google Scholar Back to article
K. Hu et al., “A review of research on reinforcement learning algorithms for multi-agents,” Neurocomputing, vol. 599, no. November 2023, p. 128068, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.neucom.2024.128068" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.neucom.2024.128068</a></pub-id>.
Open DOI Search in Google Scholar Back to article
N. S. A. Polireddi, “An effective role of artificial intelligence and machine learning in banking sector,” Measurement: Sensors, vol. 33, no. November 2023, p. 101135, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.measen.2024.101135" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.measen.2024.101135</a></pub-id>.
Open DOI Search in Google Scholar Back to article
B. Abdualgalil and S. Abraham, “Applications of Machine Learning Algorithms and Performance Comparison: A Review,” International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2020, pp. 1–6, 2020, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1109/ic-ETITE47903.2020.490" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/ic-ETITE47903.2020.490</a></pub-id>.
Open DOI Search in Google Scholar Back to article
D. D. Nguyen and M. I. Ali, “Enabling On-demand decentralized IoT collectability marketplace using blockchain and crowdsensing,” Global IoT Summit, GIoTS 2019 - Proceedings, pp. 1–6, 2019, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1109/GIOTS.2019.8766346" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/GIOTS.2019.8766346</a></pub-id>.
Open DOI Search in Google Scholar Back to article
C. Liu, Y. Xiao, V. Javangula, Q. Hu, S. Wang, and X. Cheng, “NormaChain: A blockchain-based normalized autonomous transaction settlement system for IoT-based e-commerce,” IEEE Internet of Things Journal, vol. 6, no. 3, pp. 4680–4693, 2019, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1109/JIOT.2018.2877634" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/JIOT.2018.2877634</a></pub-id>.
Open DOI Search in Google Scholar Back to article
Q. Ren, K. L. Man, M. Li, and B. Gao, “Using Blockchain to Enhance and Optimize IoT-based Intelligent Traffic System,” 2019 International Conference on Platform Technology and Service, PlatCon 2019 - Proceedings, pp. 1–4, 2019, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1109/PlatCon.2019.8669412" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/PlatCon.2019.8669412</a></pub-id>.
Open DOI Search in Google Scholar Back to article
W. Liang, L. You, and G. Hu, “LRS_PKI: A novel blockchain-based PKI framework using linkable ring signatures,” Computer Networks, vol. 237, no. August, p. 110043, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.comnet.2023.110043" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.comnet.2023.110043</a></pub-id>.
Open DOI Search in Google Scholar Back to article
S. Khanji, O. Alfandi, L. Ahmad, L. Kakkengal, and M. Al-kfairy, “A systematic analysis on the readiness of Blockchain integration in IoT forensics,” Forensic Science International: Digital Investigation, vol. 42–43, p. 301472, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.fsidi.2022.301472" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.fsidi.2022.301472</a></pub-id>.
Open DOI Search in Google Scholar Back to article
A. Tomar, N. Gupta, D. Rani, and S. Tripathi, “Blockchain-assisted authenticated key agreement scheme for IoT-based healthcare system,” Internet of Things (Netherlands), vol. 23, no. June, p. 100849, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.iot.2023.100849" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.iot.2023.100849</a></pub-id>.
Open DOI Search in Google Scholar Back to article
S. Brotsis et al., “Blockchain meets Internet of Things (IoT) forensics: A unified framework for IoT ecosystems,” Internet of Things (Netherlands), vol. 24, no. August, p. 100968, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.iot.2023.100968" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.iot.2023.100968</a></pub-id>.
Open DOI Search in Google Scholar Back to article
X. Lu, “Implementation of art therapy assisted by the internet of medical things based on blockchain and fuzzy set theory,” Information Sciences, vol. 632, no. March, pp. 776–790, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.ins.2023.03.044" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.ins.2023.03.044</a></pub-id>.
Open DOI Search in Google Scholar Back to article
D. Kumar, R. K. Singh, R. Mishra, and T. U. Daim, “Roadmap for integrating blockchain with Internet of Things (IoT) for sustainable and secured operations in logistics and supply chains: Decision making framework with case illustration,” Technological Forecasting and Social Change, vol. 196, no. September, p. 122837, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.techfore.2023.122837" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.techfore.2023.122837</a></pub-id>.
Open DOI Search in Google Scholar Back to article
H. Nguyen, D. Nawara, and R. Kashef, “Connecting the indispensable roles of IoT and artificial intelligence in smart cities: A survey,” Journal of Information and Intelligence, no. December 2023, pp. 1–25, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.jiixd.2024.01.003" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.jiixd.2024.01.003</a></pub-id>.
Open DOI Search in Google Scholar Back to article
W. S. Costa et al., “Planning and resource allocation of a hybrid IoT network using artificial intelligence,” Internet of Things (Netherlands), vol. 26, no. April, p. 101225, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.iot.2024.101225" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.iot.2024.101225</a></pub-id>.
Open DOI Search in Google Scholar Back to article
K. Alpan, K. Tuncal, C. Ozkan, B. Sekeroglu, and Y. K. Ever, “Design and simulation of global model for carbon emission reduction using IoT and artificial intelligence,” Procedia Computer Science, vol. 204, pp. 627–634, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.procs.2022.08.076" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.procs.2022.08.076</a></pub-id>.
Open DOI Search in Google Scholar Back to article
A. A. Malibari, “An efficient IoT-Artificial intelligence-based disease prediction using lightweight CNN in healthcare system,” Measurement: Sensors, vol. 26, no. October 2022, p. 100695, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.measen.2023.100695" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.measen.2023.100695</a></pub-id>.
Open DOI Search in Google Scholar Back to article
F. Hussain, R. Hussain, S. A. Hassan, and E. Hossain, “Machine Learning in IoT Security: Current Solutions and Future Challenges,” IEEE Communications Surveys and Tutorials, vol. 22, no. 3, pp. 1686–1721, 2020, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1109/COMST.2020.2986444" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/COMST.2020.2986444</a></pub-id>.
Open DOI Search in Google Scholar Back to article
F. Alwahedi, A. Aldhaheri, M. A. Ferrag, A. Battah, and N. Tihanyi, “Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models,” Internet of Things and Cyber-Physical Systems, vol. 4, no. August 2023, pp. 167–185, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.iotcps.2023.12.003" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.iotcps.2023.12.003</a></pub-id>.
Open DOI Search in Google Scholar Back to article
T. Mazhar et al., “Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence,” Brain Sciences, vol. 13, no. 4, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.3390/brainsci13040683" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/brainsci13040683</a></pub-id>.
Open DOI Search in Google Scholar Back to article
S. Vyas, M. Gupta, and R. Yadav, “Converging Blockchain and Machine Learning for Healthcare,” Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, pp. 709–711, 2019, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1109/AICAI.2019.8701230" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/AICAI.2019.8701230</a></pub-id>.
Open DOI Search in Google Scholar Back to article
P. Singh, Z. Elmi, Y. yip Lau, M. Borowska-Stefańska, S. Wiśniewski, and M. A. Dulebenets, “Blockchain and AI technology convergence: Applications in transportation systems,” Vehicular Communications, vol. 38, no. 2022, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.vehcom.2022.100521" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.vehcom.2022.100521</a></pub-id>.
Open DOI Search in Google Scholar Back to article
M. Soori, R. Dastres, and B. Arezoo, “AI-powered blockchain technology in industry 4.0, a review,” Journal of Economy and Technology, vol. 1, no. November 2023, pp. 222–241, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.ject.2024.01.001" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.ject.2024.01.001</a></pub-id>.
Open DOI Search in Google Scholar Back to article
H. Y. Chen, K. Sharma, C. Sharma, and S. Sharma, “Integrating explainable artificial intelligence and blockchain to smart agriculture: Research prospects for decision making and improved security,” Smart Agricultural Technology, vol. 6, no. November, p. 100350, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.atech.2023.100350" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.atech.2023.100350</a></pub-id>.
Open DOI Search in Google Scholar Back to article
D. Bhumichai, C. Smiliotopoulos, R. Benton, G. Kambourakis, and D. Damopoulos, “The Convergence of Artificial Intelligence and Blockchain: The State of Play and the Road Ahead,” Information (Switzerland), vol. 15, no. 5, pp. 1–32, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.3390/info15050268" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/info15050268</a></pub-id>.
Open DOI Search in Google Scholar Back to article
D. Ressi, R. Romanello, C. Piazza, and S. Rossi, “AI-enhanced blockchain technology: A review of advancements and opportunities,” Journal of Network and Computer Applications, vol. 225, no. May 2023, p. 103858, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.jnca.2024.103858" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.jnca.2024.103858</a></pub-id>.
Open DOI Search in Google Scholar Back to article
O. Popoola, M. Rodrigues, J. Marchang, A. Shenfield, A. Ikpehia, and J. Popoola, “A critical literature review of security and privacy in smart home healthcare schemes adopting IoT & blockchain: Problems, Challenges and Solutions,” Blockchain: Research and Applications, vol. 5, no. 2, p. 100178, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.bcra.2023.100178" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.bcra.2023.100178</a></pub-id>.
Open DOI Search in Google Scholar Back to article
P. Nath, J. R. Mushahary, U. Roy, M. Brahma, and P. K. Singh, “AI and Blockchain-based source code vulnerability detection and prevention system for multiparty software development,” Computers and Electrical Engineering, vol. 106, no. June 2022, p. 108607, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.compeleceng.2023.108607" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.compeleceng.2023.108607</a></pub-id>.
Open DOI Search in Google Scholar Back to article
S. M. Alrubei, E. Ball, and J. M. Rigelsford, “A Secure Blockchain Platform for Supporting AI-Enabled IoT Applications at the Edge Layer,” IEEE Access, vol. 10, pp. 18583–18595, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1109/ACCESS.2022.3151370" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/ACCESS.2022.3151370</a></pub-id>.
Open DOI Search in Google Scholar Back to article
H. Hu, J. Xu, M. Liu, and M. K. Lim, “Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning,” Journal of Business Research, vol. 156, no. December 2022, p. 113480, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.jbusres.2022.113480" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.jbusres.2022.113480</a></pub-id>.
Open DOI Search in Google Scholar Back to article
S. K. Singh, S. Rathore, and J. H. Park, “BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence,” Future Generation Computer Systems, vol. 110, pp. 721–743, 2020, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.future.2019.09.002" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.future.2019.09.002</a></pub-id>.
Open DOI Search in Google Scholar Back to article
M. Lei, L. Xu, T. Liu, S. Liu, and C. Sun, “Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and Challenges,” Foods, vol. 11, no. 15, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.3390/foods11152262" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/foods11152262</a></pub-id>.
Open DOI Search in Google Scholar Back to article
N. Mangala et al., “Secure pharmaceutical supply chain using blockchain in IoT cloud systems,” Internet of Things (Netherlands), vol. 26, no. April, p. 101215, 2024, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.iot.2024.101215" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.iot.2024.101215</a></pub-id>.
Open DOI Search in Google Scholar Back to article
X. Feng, J. Wu, Y. Wu, J. Li, and W. Yang, “Blockchain and digital twin empowered trustworthy self-healing for edge-AI enabled industrial Internet of things,” Information Sciences, vol. 642, no. May, p. 119169, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.ins.2023.119169" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.ins.2023.119169</a></pub-id>.
Open DOI Search in Google Scholar Back to article
W. Moulahi, I. Jdey, T. Moulahi, M. Alawida, and A. Alabdulatif, “A blockchain-based federated learning mechanism for privacy preservation of healthcare IoT data,” Computers in Biology and Medicine, vol. 167, no. June, p. 107630, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.compbiomed.2023.107630" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.compbiomed.2023.107630</a></pub-id>.
Open DOI Search in Google Scholar Back to article
J. Wang, H. Jin, J. Chen, J. Tan, and K. Zhong, “Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network,” Information Sciences, vol. 617, pp. 133–149, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.ins.2022.10.060" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.ins.2022.10.060</a></pub-id>.
Open DOI Search in Google Scholar Back to article
Y. D. Al-Otaibi, “K-nearest neighbour-based smart contract for internet of medical things security using blockchain,” Computers and Electrical Engineering, vol. 101, no. May, p. 108129, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.compeleceng.2022.108129" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.compeleceng.2022.108129</a></pub-id>.
Open DOI Search in Google Scholar Back to article
A. Zekiye and Ö. Özkasap, “Decentralized Healthcare Systems with Federated Learning and Blockchain,” 2023, [Online]. Available: <a href="http://arxiv.org/abs/2306.17188" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">http://arxiv.org/abs/2306.17188</a>.
Search in Google Scholar Back to article
I. Ahmed, Y. Zhang, G. Jeon, W. Lin, M. R. Khosravi, and L. Qi, “A blockchain- and artificial intelligence-enabled smart IoT framework for sustainable city,” International Journal of Intelligent Systems, vol. 37, no. 9, pp. 6493–6507, 2022, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1002/int.22852" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/int.22852</a></pub-id>.
Open DOI Search in Google Scholar Back to article
A. Shankar and C. Maple, “Securing the Internet of Things-enabled smart city infrastructure using a hybrid framework,” Computer Communications, vol. 205, no. August 2022, pp. 127–135, 2023, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.comcom.2023.04.008" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.comcom.2023.04.008</a></pub-id>.
Open DOI Search in Google Scholar Back to article
A. Kumari, R. Gupta, S. Tanwar, and N. Kumar, “Blockchain and AI amalgamation for energy cloud management: Challenges, solutions, and future directions,” Journal of Parallel and Distributed Computing, vol. 143, pp. 148–166, 2020, doi: <pub-id pub-id-type="doi"><a href="https://doi.org/10.1016/j.jpdc.2020.05.004" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.jpdc.2020.05.004</a></pub-id>.
Open DOI Search in Google Scholar Back to article

DOI: https://doi.org/10.2478/ijssis-2025-0002 | Journal eISSN: 1178-5608

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Language: English

Submitted on: Nov 17, 2024

Published on: Jan 19, 2025

Published by: Professor Subhas Chandra Mukhopadhyay

In partnership with: Paradigm Publishing Services

Publication frequency: 1 times per year

Keywords:

blockchain,

Internet of things,

machine learning,

artificial intelligence

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2025 Youssef Aounzou, Abdelhak Boulaalam, Fahd Kalloubi, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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