Privacy Preservation for the IoMT Using Federated Learning and Blockchain Technologies

A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

Hassija, V., Chamola, V., Saxena, V., Jain, D., Goyal, P., & Sikdar, B. (2019) · IEEE Access · doi:10.1109/access.2019.2924045 · Cited by 1,445 · see citing works

Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

Lu, Y., Huang, X., Dai, Y., Maharjan, S., & Zhang, Y. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2942190 · Cited by 1,245 · see citing works

Federated learning of predictive models from federated Electronic Health Records

Brisimi, T. S., Chen, R., Mela, T., Olshevsky, A., Paschalidis, I. C., & Shi, W. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.01.007 · Cited by 997 · see citing works

A decentralized privacy-preserving healthcare blockchain for IoT

Dwivedi, A. D., Srivastava, G., Dhar, S., & Singh, R. (2019) · Sensors · doi:10.3390/s19020326 · Cited by 881 · see citing works

Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research

de Alwis, C., Kalla, A., Pham, Q., Kumar, P., Dev, K., Hwang, W., & Liyanage, M. (2021) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2021.3071496 · Cited by 809 · see citing works

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

Liu, Y., Yu, J. J. Q., Kang, J., Niyato, D., & Zhang, S. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2991401 · Cited by 712 · see citing works

A Survey on Internet of Things and Cloud Computing for Healthcare

Dang, L. M., Piran, M. J., Han, D., Min, K., & Moon, H. (2019) · Electronics · doi:10.3390/electronics8070768 · Cited by 667 · see citing works

A Supervised Intrusion Detection System for Smart Home IoT Devices

Anthi, E., Williams, L., Slowinska, M., Theodorakopoulos, G., & Burnap, P. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2926365 · Cited by 599 · see citing works

Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2019) · IEEE Access · doi:10.1109/access.2019.2917555 · Cited by 574 · see citing works

Federated Learning With Blockchain for Autonomous Vehicles: Analysis and Design Challenges

Pokhrel, S. R., & Choi, J. (2020) · IEEE Transactions on Communications · doi:10.1109/tcomm.2020.2990686 · Cited by 531 · see citing works

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

Khan, L. U., Pandey, S. R., Tran, N. H., Saad, W., Han, Z., Nguyen, M. N. H., & Hong, C. S. (2020) · IEEE Communications Magazine · doi:10.1109/mcom.001.1900649 · Cited by 506 · see citing works

Healthchain: A Blockchain-Based Privacy Preserving Scheme for Large-Scale Health Data

Xu, J., Xue, K., Li, S., Tian, H., Hong, J., Hong, P., & Yu, N. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2923525 · Cited by 424 · see citing works

Communication-efficient federated learning

Chen, M., Shlezinger, N., Poor, H. V., Eldar, Y. C., & Cui, S. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2024789118 · Cited by 397 · see citing works

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring

Wu, Q., Chen, X., Zhou, Z., & Zhang, J. (2022) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2020.3045266 · Cited by 392 · see citing works

Application of Blockchain and Internet of Things in Healthcare and Medical Sector: Applications, Challenges, and Future Perspectives

Ratta, P., Kaur, A., Sharma, S., Shabaz, M., & Dhiman, G. (2021) · Journal of Food Quality · doi:10.1155/2021/7608296 · Cited by 335 · see citing works

Blockchain and Federated Learning for Collaborative Intrusion Detection in Vehicular Edge Computing

Liu, H., Zhang, S., Zhang, P., Zhou, X., Shao, X., Pu, G., & Zhang, Y. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3076780 · Cited by 291 · see citing works

IEEE 2003 International Conference on Communications (ICC'03)

谷口, 智. (2003) · 電子情報通信学会誌 · Cited by 288 · see citing works

Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey

Nguyen, D. C., Ding, M., Pathirana, P. N., & Seneviratne, A. (2021) · IEEE Access · doi:10.1109/access.2021.3093633 · Cited by 286 · see citing works

A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

Rehman, A., Abbas, S., Khan, M. A., Ghazal, T. M., Khan, M. A., & Mosavi, A. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.106019 · Cited by 283 · see citing works

Blockchain Medledger: Hyperledger fabric enabled drug traceability system for counterfeit drugs in pharmaceutical industry

Uddin, M. (2021) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2021.120235 · Cited by 253 · see citing works

Security and Privacy in IoT-Cloud-Based e-Health Systems—A Comprehensive Review

Butpheng, C., Yeh, K., & Xiong, H. (2020) · Symmetry · doi:10.3390/sym12071191 · Cited by 219 · see citing works

Medchain: a design of blockchain-based system for medical records access and permissions management

Daraghmi, E.-Y., Daraghmi, Y.-A., & Yuan, S.-M. (2019) · IEEE Access · doi:10.1109/access.2019.2952942 · Cited by 196 · see citing works

Security in IoMT Communications: A Survey

Koutras, D., Stergiopoulos, G., Dasaklis, T. K., Kotzanikolaou, P., Glynos, D., & Douligeris, C. (2020) · Sensors · doi:10.3390/s20174828 · Cited by 187 · see citing works

Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML

Rasool, R. U., Ahmad, H. F., Rafique, W., Qayyum, A., & Qadir, J. (2022) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2022.103332 · Cited by 177 · see citing works

Securing federated learning with blockchain: a systematic literature review

Qammar, A., Karim, A., Ning, H., & Ding, J. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-022-10271-9 · Cited by 177 · see citing works

Handling privacy-sensitive medical data with federated learning: Challenges and future directions

Aouedi, O., Sacco, A., Piamrat, K., & Marchetto, G. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3185673 · Cited by 165 · see citing works

Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey

Javed, A. R., Hassan, M. A., Shahzad, F., Ahmed, W., Singh, S., Baker, T., & Gadekallu, T. R. (2022) · Sensors · doi:10.3390/s22124394 · Cited by 160 · see citing works

IoT based heart disease prediction and diagnosis model for healthcare using machine learning models

Ganesan, M., & Sivakumar, N. (2019) · International Conference on System, Computation, Automation and Networking (ICSCAN) · doi:10.1109/icscan.2019.8878850 · Cited by 149 · see citing works

Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems

Manias, D. M., & Shami, A. A. (2021) · IEEE Network · doi:10.1109/mnet.011.2000552 · Cited by 142 · see citing works

ML-IDS: A machine learning approach to detect wormhole attacks in Internet of Things

Shukla, P. (2017) · Intelligent Systems Conference (IntelliSys) · doi:10.1109/intellisys.2017.8324298 · Cited by 135 · see citing works

Drugledger: A Practical Blockchain System for Drug Traceability and Regulation

Huang, Y., Wu, J. B., & Long, C. (2018) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/cybermatics_2018.2018.00206 · Cited by 122 · see citing works

Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things

Ünal, D., Hammoudeh, M. A. A., Khan, M. A., Abuarqoub, A., Epiphaniou, G., & Hamila, R. (2021) · Computers & Security · doi:10.1016/j.cose.2021.102393 · Cited by 116 · see citing works

Blockchain: Securing Internet of Medical Things (IoMT)

Dilawar, N., Rizwan, M., Ahmad, F., et al. (2019) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2019.0100110 · Cited by 115 · see citing works

RFID Technology for Management and Tracking: e-Health Applications

Álvarez, Y., Franssen, J., Álvarez-Narciandi, G., et al. (2018) · Sensors · doi:10.3390/s18082663 · Cited by 106 · see citing works

Two-stage Federated Phenotyping and Patient Representation Learning

Liu, D., Dligach, D., & Miller, T. A. (2019) · BioNLP Workshop and Shared Task (BioNLP) · doi:10.18653/v1/w19-5030 · Cited by 105 · see citing works

Research on Disease Prediction Based on Improved DeepFM and IoMT

Yu, Z., Amin, S. U., Alhussein, M. A., & Lv, Z. (2021) · IEEE Access · doi:10.1109/access.2021.3062687 · Cited by 105 · see citing works

Federated Learning for the Internet-of-Medical-Things: A Survey

Prasad, V. K., Bhattacharya, P., Maru, D., Tanwar, S., Verma, A., Singh, A., Tiwari, A. K., Sharma, R., Alkhayyat, A. H., Țurcanu, F.-E., et al. (2022) · Mathematics · doi:10.3390/math11010151 · Cited by 85 · see citing works

A Blockchain-Based Federated Forest for SDN-Enabled In-Vehicle Network Intrusion Detection System

Aliyu, I., Feliciano, M. C., van Engelenburg, S., Kim, D. O., & Lim, C. G. (2021) · IEEE Access · doi:10.1109/access.2021.3094365 · Cited by 82 · see citing works

Intrusion Detection System for Internet of Things based on a Machine Learning approach

Liang, C. L., Shanmugam, B., Azam, S., Jonkman, M., Boer, F. D., & Samy, G. N. (2019) · International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN) · doi:10.1109/vitecon.2019.8899448 · Cited by 76 · see citing works

Privacy-preserving Federated Brain Tumour SegmentationPreprint

Li, W., Milletarì, F., Xu, D., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.00962 · Cited by 63 · see citing works

Federated Transfer Learning-Based IDS for the Internet of Medical Things (IoMT)

Otoum, Y., Wan, Y., & Nayak, A. R. (2021) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/gcwkshps52748.2021.9682118 · Cited by 55 · see citing works

A Machine Learning SDN-Enabled Big Data Model for IoMT Systems

Haseeb, K., Ahmad, I., Awan, I. I., et al. (2021) · Electronics · doi:10.3390/electronics10182228 · Cited by 49 · see citing works

A Novel Hybrid Intrusion Detection System (IDS) for the Detection of Internet of Things (IoT) Network Attacks

Ramadan, R. Α., & Yadav, K. (2020) · Annals of Emerging Technologies in Computing · doi:10.33166/aetic.2020.05.004 · Cited by 41 · see citing works

Big data based hybrid machine learning model for improving performance of medical Internet of Things data in healthcare systems

Rashid, M. U., Singh, H., Goyal, V., Parah, S. A., & Wani, A. R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819664-9.00003-x · Cited by 40 · see citing works

SEMRAchain: A Secure Electronic Medical Record Based on Blockchain Technology

Mhamdi, H., Ayadi, M. F., Ksibi, A., et al. (2022) · Electronics · doi:10.3390/electronics11213617 · Cited by 31 · see citing works

2015 11th International Conference on Innovations in Information Technology (IIT)

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Developing House of Information Quality framework for IoT systems

Alrae, R., Nasir, Q., & Talib, M. W. A. (2020) · International Journal of Systems Assurance Engineering and Management · doi:10.1007/s13198-020-00989-6 · Cited by 22 · see citing works

VREFL: Verifiable and Reconnection-Efficient Federated Learning in IoT scenarios

Ye, H., Liu, J., Zhen, H., Jiang, W., Wang, B., & Wang, W. (2022) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2022.103486 · Cited by 18 · see citing works

Efficient early prediction and diagnosis of diseases using machine learning algorithms for IoMT data

Elbaşı, E., & Zreikat, A. I. (2021) · IEEE World AI IoT Congress (AIIoT) · doi:10.1109/aiiot52608.2021.9454231 · Cited by 14 · see citing works

Analyzing Threats of IoT Networks Using SDN Based Intrusion Detection System (SDIoT-IDS)

Wani, A., & Revathi, S. (2018) · Communications in computer and information science · doi:10.1007/978-981-10-8660-1_41 · Cited by 13 · see citing works

Internet of Medical Things:Brief Overview and the Future

Wong, S. Y., Soh, M. Y., & Wong, J. M. (2021) · IEEE Student Conference on Research and Development (SCOReD) · doi:10.1109/scored53546.2021.9652784 · Cited by 10 · see citing works

Study on IOT based Smart Disease Detection Model on Machine Learning Techniques for Healthcare Applications

Dhaka, P., & Sehrawat, R. (2022) · International Conference on Parallel, Distributed and Grid Computing (PDGC) · doi:10.1109/pdgc56933.2022.10053137 · Cited by 2 · see citing works

Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration

Abbas, S. R., Abbas, Z., Zahir, A., & Lee, S. W. (2024) · Healthcare · doi:10.3390/healthcare12242587 · Cited by 228 · see citing works

ИСПОЛЬЗОВAНИЕ ПОТЕНЦИAЛA СОЦИAЛЬНЫХ ПAРТНЕРОВ В ПОДГОТОВКЕ БУДУЩИХ ПЕДAГОГОВ

Атабекова, Б. Б. (2024) · Habaršy. Pedagogika ġylymdary seriâsy · doi:10.51889/2959-5762.2023.80.4.019

Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

BLOCKCHAIN AS THE NEWEST FINANCIAL INSTITUTION: PROCESSES, STRATEGIES, TECHNOLOGIES AND PRACTICE OF APPLICATION IN THE CONDITIONS OF DIGITALIZATION OF ECONOMY

Kraus, K., Kraus, N. M., & Manzhura, О. (2022) · Efektyvna ekonomika · doi:10.32702/2307-2105-2022.1.74 · Cited by 8 · see citing works

Καινοτόμος μέθοδος αποθήκευσης και μετάδοσης δεδομένων, τεχνολογία Blockchain, κοινωνιο-ψυχολογικές επιπτώσεις, προσεγγίσεις και εφαρμογές στην εκπαίδευση και τη μάθηση

Γρηγοριάδου, Β. (2022) · doi:10.12681/eadd/52359 · Cited by 1 · see citing works

การศกษาความเปนไปไดทางเทคนคและทางกฎหมายในการนำ "BLOCKCHAIN" มาใชปองกนการออกหนงสอแสดงสทธในทดนโดยมชอบ

ชิระปัญญา, ก. (2018) · doi:10.58837/chula.the.2018.1470