{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T04:19:20Z","timestamp":1777349960070,"version":"3.51.4"},"reference-count":54,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T00:00:00Z","timestamp":1694044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Princess Nourah bint Abdulrahman University Researchers Supporting Project","award":["PNURSP2023TR140"],"award-info":[{"award-number":["PNURSP2023TR140"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The rapid advancements in technology have paved the way for innovative solutions in the healthcare domain, aiming to improve scalability and security while enhancing patient care. This abstract introduces a cutting-edge approach, leveraging blockchain technology and hybrid deep learning techniques to revolutionize healthcare systems. Blockchain technology provides a decentralized and transparent framework, enabling secure data storage, sharing, and access control. By integrating blockchain into healthcare systems, data integrity, privacy, and interoperability can be ensured while eliminating the reliance on centralized authorities. In conjunction with blockchain, hybrid deep learning techniques offer powerful capabilities for data analysis and decision making in healthcare. Combining the strengths of deep learning algorithms with traditional machine learning approaches, hybrid deep learning enables accurate and efficient processing of complex healthcare data, including medical records, images, and sensor data. This research proposes a permissions-based blockchain framework for scalable and secure healthcare systems, integrating hybrid deep learning models. The framework ensures that only authorized entities can access and modify sensitive health information, preserving patient privacy while facilitating seamless data sharing and collaboration among healthcare providers. Additionally, the hybrid deep learning models enable real-time analysis of large-scale healthcare data, facilitating timely diagnosis, treatment recommendations, and disease prediction. The integration of blockchain and hybrid deep learning presents numerous benefits, including enhanced scalability, improved security, interoperability, and informed decision making in healthcare systems. However, challenges such as computational complexity, regulatory compliance, and ethical considerations need to be addressed for successful implementation. By harnessing the potential of blockchain and hybrid deep learning, healthcare systems can overcome traditional limitations, promoting efficient and secure data management, personalized patient care, and advancements in medical research. The proposed framework lays the foundation for a future healthcare ecosystem that prioritizes scalability, security, and improved patient outcomes.<\/jats:p>","DOI":"10.3390\/s23187740","type":"journal-article","created":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T10:11:07Z","timestamp":1694081467000},"page":"7740","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":105,"title":["Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning"],"prefix":"10.3390","volume":"23","author":[{"given":"Aitizaz","family":"Ali","sequence":"first","affiliation":[{"name":"School of IT, UNITAR International University, Petaling Jaya 47301, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0239-8000","authenticated-orcid":false,"given":"Hashim","family":"Ali","sequence":"additional","affiliation":[{"name":"Department of Computer System, Abdul Wali Khan University Mardan (AWKUM), Mardan 23200, Pakistan"}]},{"given":"Aamir","family":"Saeed","sequence":"additional","affiliation":[{"name":"Department of Computer Science and IT, Jalozai Campus, UET Peshawar, Peshawar 25000, Pakistan"}]},{"given":"Aftab","family":"Ahmed Khan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Abdul Wali Khan University Mardan (AWKUM), Mardan 23200, Pakistan"}]},{"given":"Ting Tin","family":"Tin","sequence":"additional","affiliation":[{"name":"Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Malaysia"}]},{"given":"Muhammad","family":"Assam","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, University of Science and Technology Bannu, Bannu 28100, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7121-495X","authenticated-orcid":false,"given":"Yazeed Yasin","family":"Ghadi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Software Engineering, Al Ain University, Abu Dhabi 122612, United Arab Emirates"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0443-1049","authenticated-orcid":false,"given":"Heba G.","family":"Mohamed","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. 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Proceedings of the 2016 3rd International Conference on Information Science and Control Engineering (ICISCE), Beijing, China.","DOI":"10.1109\/ICISCE.2016.190"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Hasnain, M., Pasha, M.F., Ghani, I., Mehboob, B., Imran, M., and Ali, A. (2020). Benchmark Dataset Selection of Web Services Technologies: A Factor Analysis, IEEE Access.","DOI":"10.1109\/ACCESS.2020.2979253"},{"key":"ref_4","unstructured":"Ali, A., and Mehboob, M. (2018, January 5\u20137). Comparative Analysis of Selected Routing Protocols for WLAN Based Wireless Sensor Networks (WSNs). Proceedings of the 2nd International Multi-Disciplinary Conference, Oxford, UK."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Ali, A., Rahim, H.A., Pasha, M.F., Dowsley, R., Masud, M., Ali, J., and Baz, M. (2021). Security, Privacy, and Reliability in Digital Healthcare Systems Using Blockchain. J. Electron., 10.","DOI":"10.3390\/electronics10162034"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Liu, J., Li, X., Ye, L., Zhang, H., Du, X., and Guizani, M. (2018, January 9\u201313). A blockchain based privacy-preserving data sharing for electronic medical records. Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates.","DOI":"10.1109\/GLOCOM.2018.8647713"},{"key":"ref_7","unstructured":"Hameed, K., Ali, A., Naqvi, M.H., Jabbar, M., Junaid, M., and Haider, A. (2016, January 2\u20135). Resource management in operating systems-a survey of scheduling algorithms. Proceedings of the International Conference on Innovative Computing (ICIC), Lanzhou, China."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"136481","DOI":"10.1109\/ACCESS.2019.2940052","article-title":"Efficient privacy-preserving machine learning for blockchain network","volume":"7","author":"Kim","year":"2019","journal-title":"J. IEEE Access"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Jiang, S., Cao, J., McCann, J.A., Yang, Y., Liu, Y., Wang, X., and Deng, Y. (2019, January 14\u201317). Privacy-preserving and efficient multi-keyword search over encrypted data on the blockchain. Proceedings of the 2019 IEEE International Conference on Blockchain (Blockchain), Atlanta, GA, USA.","DOI":"10.1109\/Blockchain.2019.00062"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Chen, X., Ji, J., Luo, C., Liao, W., and Li, P. (2018, January 10\u201313). When machine learning meets blockchain: A decentralized, privacy-preserving and secure design. Proceedings of the 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA.","DOI":"10.1109\/BigData.2018.8622598"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Chakraborty, S., Aich, S., and Kim, H.-C. (2019, January 17\u201320). A secure healthcare system design framework using blockchain technology. Proceedings of the 2019 21st International Conference on Advanced Communication Technology (ICACT), PyeongChang, Republic of Korea.","DOI":"10.23919\/ICACT.2019.8701983"},{"key":"ref_12","first-page":"101","article-title":"P4-to-blockchain: A secure blockchain-enabled packet parser for software-defined networking","volume":"88","author":"Yazdinejad","year":"2020","journal-title":"J. Comput. Secur."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Jiang, S., Cao, J., Wu, H., Yang, Y., Ma, M., and He, J. (2018, January 18\u201320). Blochie: A blockchain-based platform for healthcare information exchange. Proceedings of the 2018 IEEE International Conference on Smart Computing (Smartcomp), Taormina, Italy.","DOI":"10.1109\/SMARTCOMP.2018.00073"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"7639","DOI":"10.1109\/TII.2020.3046129","article-title":"Fairness-based packing of industrial IoT data in permissioned blockchains","volume":"17","author":"Jiang","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Dorri, A., Kanhere, S., Jurdak, R.S., and Gauravaram, P. (2017, January 13\u201317). Blockchain for IoT security and privacy: The case study of a smart home. Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom workshops), Kona, HI, USA.","DOI":"10.1109\/PERCOMW.2017.7917634"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Lazaroiu, C., and Roscia, M. (2017, January 5\u20138). Smart district through IoT and blockchain. Proceedings of the 2017 IEEE 6th International Conference on Renewable Energy Research and Applications, San Diego, CA, USA.","DOI":"10.1109\/ICRERA.2017.8191102"},{"key":"ref_17","first-page":"3","article-title":"Addressing Key Challenges to Making Enterprise Blockchain Applications a Reality","volume":"17","author":"Lacity","year":"2018","journal-title":"J. Mis Q. Exec."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"102481","DOI":"10.1016\/j.jnca.2019.102481","article-title":"A comprehensive survey on attacks, security issues and blockchain solutions for IoT and IIoT","volume":"149","author":"Sengupta","year":"2020","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Honar Pajooh, H., Rashid, M., Alam, F., and Demidenko, S. (2021). Multi-layer blockchain-based security architecture for internet of things. Sensors, 21.","DOI":"10.3390\/s21030772"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Peng, C., Wu, C., Gao, L., Zhang, J., Alvin Yau, K.-L., and Ji, Y. (2020). Blockchain for vehicular Internet of Things: Recent advances and open issues. Sensors, 20.","DOI":"10.3390\/s20185079"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1109\/MCC.2018.011791712","article-title":"Blockchain: A panacea for healthcare cloud-based data security and privacy","volume":"5","author":"Esposito","year":"2018","journal-title":"J. IEEE Cloud Comput."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1398","DOI":"10.1177\/1460458218769699","article-title":"A framework for secure and decentralized sharing of medical imaging data via blockchain consensus","volume":"15","author":"Patel","year":"2019","journal-title":"Health Inform. J."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Kim, T.M., Lee, S.-J., Chang, D.-J., Koo, J., Kim, T., Yoon, K.-H., and Choi, I.-Y. (2021). DynamiChain: Development of Medical Blockchain Ecosystem Based on Dynamic Consent System. J. Appl. Sci., 11.","DOI":"10.3390\/app11041612"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Hang, L., and Kim, D.-H. (2019). Design and implementation of an integrated iot blockchain platform for sensing data integrity. Sensors, 19.","DOI":"10.3390\/s19102228"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10916-018-0993-7","article-title":"Medblock: Efficient and secure medical data sharing via blockchain","volume":"42","author":"Fan","year":"2018","journal-title":"J. Med. Syst."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Ali, A., Al-rimy, B., Ali Saleh, A., Faisal, S., Almazroi, A.A., and Almazroi, A.A. (2023). HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications. Sensors, 23.","DOI":"10.3390\/s23156762"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4215","DOI":"10.3390\/s18124215","article-title":"Identity management systems for the internet of things: A survey towards blockchain solutions","volume":"18","author":"Jung","year":"2018","journal-title":"Sensors"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Jia, X., Hu, N., Su, S., Yin, S., Zhao, Y., Cheng, X., and Zhang, C. (2020). IRBA: An identity-based cross-domain authentication scheme for the internet of things. J. Electron., 9.","DOI":"10.3390\/electronics9040634"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Ali, A., Rahim, H.A., Ali, J., Pasha, M.F., Masud, M., Rehman, A.U., Chen, C., and Baz, M. (2021). A Novel Secure Blockchain Framework for Accessing Electronic Health Records Using Multiple Certificate Authority. Appl. Sci., 11.","DOI":"10.3390\/app11219999"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"102018","DOI":"10.1016\/j.scs.2020.102018","article-title":"Blockchain technology, improvement suggestions, security challenges on smart grid and its application in healthcare for sustainable development","volume":"55","author":"Khan","year":"2020","journal-title":"J. Sustain. Cities Soc."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Dwivedi, A.D., Srivastava, G., Dhar, S., and Singh, R. (2019). A decentralized privacy-preserving healthcare blockchain for IoT. Sensors, 19.","DOI":"10.3390\/s19020326"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/IOTM.0001.1900089","article-title":"A blockchain-enabled multi domain edge computing orchestrator","volume":"3","author":"Rathi","year":"2020","journal-title":"J. IEEE Internet Things Mag."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Nkenyereye, L., Adhi Tama, B., Shahzad, M.K., and Choi, Y.H. (2020). Secure and blockchain-based emergency driven message protocol for 5G enabled vehicular edge computing. Sensors, 20.","DOI":"10.3390\/s20010154"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1109\/MNET.011.2000223","article-title":"Efficient and secure data sharing for 5G flying drones: A blockchain-enabled approach","volume":"35","author":"Feng","year":"2021","journal-title":"IEEE Netw."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Khujamatov, K., Reypnazarov, E., Akhmedov, N., and Khasanov, D. (2020;, January 8\u20139). Blockchain for 5G Healthcare architecture. Proceedings of the 2020 International Conference on Information Science and Communications Technologies (ICISCT), Online.","DOI":"10.1109\/ICISCT50599.2020.9351398"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1007\/s12083-020-00963-w","article-title":"BIDAPSCA5G: Blockchain based Internet of Things (IoT) device to device authentication protocol for smart city applications using 5G technology","volume":"14","author":"Vivekanandan","year":"2021","journal-title":"Peer-to-Peer Netw. Appl."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"4278","DOI":"10.1109\/JIOT.2019.2956241","article-title":"A blockchain-SDN-enabled Internet of vehicles environment for fog computing and 5G networks","volume":"7","author":"Gao","year":"2019","journal-title":"IEEE Internet Things J."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1109\/MNET.001.1900658","article-title":"Pirate: A blockchain-based secure framework of distributed machine learning in 5G networks","volume":"34","author":"Zhou","year":"2020","journal-title":"IEEE Netw."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/MNET.2020.9374644","article-title":"Guest Editorial: Blockchain and AI for Beyond 5G Networks","volume":"34","author":"Zhang","year":"2020","journal-title":"IEEE Netw."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1120","DOI":"10.1109\/TNSE.2019.2937481","article-title":"Blockchain-enabled authentication handover with efficient privacy protection in SDN-based 5G networks","volume":"8","author":"Yazdinejad","year":"2019","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"ref_41","first-page":"150","article-title":"A survey of 6G wireless communications: Emerging technologies","volume":"1","author":"Zhao","year":"2021","journal-title":"Future Inf. Commun. Conf."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Almaiah, M.A., Hajjej, F., Ali, A., Pasha, M.F., and Almomani, O. (2022). A Novel Hybrid Trustworthy Decentralized Authentication and Data Preservation Model for Digital Healthcare IoT Based CPS. Sensors, 22.","DOI":"10.3390\/s22041448"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"128536","DOI":"10.1109\/ACCESS.2022.3227430","article-title":"InPath Forum: A Real-Time Learning Analytics and Performance Ranking Forum System","volume":"10","author":"Yi","year":"2022","journal-title":"IEEE Access"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Ali, A., Almaiah, M.A., Hajjej, F., Pasha, M.F., Fang, O.H., Khan, R., Teo, J., and Zakarya, M. (2022). An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network. Sensors, 22.","DOI":"10.3390\/s22020572"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Ali, A., Fermi, P.M., Antonio, G., Antonella, G., Xiaobing, S., Aamir, S., Amir, H., and Giancarlo, F. (2023). A Novel Homomorphic Encryption and Consortium Blockchain-based Hybrid Deep Learning Model for Industrial Internet of Medical Things. IEEE Trans. Netw. Sci. Eng., 1\u201318.","DOI":"10.1109\/TNSE.2023.3285070"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Ali, A., Al-rimy, B., Ali, S., Ting, T.T., Altamimi, S.N., Qasem, S., and Mobile Mentor (2023). Empowering Precision Medicine: Unlocking Revolutionary Insights through Blockchain-Enabled Federated Learning and Electronic Medical Records. Sensors, 23.","DOI":"10.3390\/s23177476"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Al Hwaitat, A.K., Almaiah, M.A., Ali, A., Al-Otaibi, S., Shishakly, R., Lutfi, A., and Alrawad, M. (2023). A New Blockchain-Based Authentication Framework for Secure IoT Networks. Electronics, 12.","DOI":"10.3390\/electronics12173618"},{"key":"ref_48","unstructured":"(2021). Blockchain and 5G-Enabled Internet of Things: Background and Preliminaries Blockchain for 5G-Enabled IoT, Springer."},{"key":"ref_49","unstructured":"Mobile Mentor (2023, July 11). Preventing Ransomware Attacks: Safeguarding Your Business and Avoiding the Pain of Rebuilding. Available online: https:\/\/www.mobile-mentor.com\/insights\/preventing-ransomware-attacks-safeguarding-your-business-and-avoiding-the-pain-of-rebuilding."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Shen, B., Guo, J., and Yang, Y. (2019). MedChain: Efficient healthcare data sharing via blockchain. Appl. Sci., 9.","DOI":"10.3390\/app9061207"},{"key":"ref_51","unstructured":"Singh, P.K., Kar, A.K., Singh, Y., Kolekar, M.H., and Tanwar, S. (2019, January 8\u20139). Mobile edge computing-enabled blockchain framework\u2014A survey. Proceedings of the ICRIC 2019, Jammu, India."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"106382","DOI":"10.1016\/j.ymssp.2019.106382","article-title":"Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges","volume":"135","author":"Mistry","year":"2020","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Budhiraja, I., Tyagi, S., Tanwar, S., Kumar, N., and Guizani, M. (2018, January 9\u201313). CR-NOMA Based Interference Mitigation Scheme for 5G Femtocells Users. Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates.","DOI":"10.1109\/GLOCOM.2018.8647354"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Azaria, A., Ekblaw, A., Vieira, T., and Lippman, A. (2016, January 22\u201324). Medrec: Using blockchain for medical data access and permission management. Proceedings of the 2016 2nd International Conference on Open and Big Data (OBD), Vienna, Austria.","DOI":"10.1109\/OBD.2016.11"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/18\/7740\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:47:02Z","timestamp":1760129222000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/18\/7740"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,7]]},"references-count":54,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2023,9]]}},"alternative-id":["s23187740"],"URL":"https:\/\/doi.org\/10.3390\/s23187740","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,7]]}}}