Abstract
A medical cyber-physical system (MCPS) combines intelligent medical devices with a network. Nowadays, MCPS is extensively used in the healthcare system. While sharing patient data into MCPS, data security and privacy are significant challenges in healthcare as most of the devices suffer from data leaking, data manipulation, data forgery, denial of service attacks, etc. In this work, a reputation-based blockchain framework has been proposed to ensure patient data security while preserving privacy. A detailed security analysis discusses the possible attacks and the countermeasures of the attacks. The result and performance analysis of the proposed framework show low latency in data sharing and high throughput with an increasing number of users in the network. The calculated results established that the average latency time is reduced to (46–50%) while throughput is increased by (44–50%) as the number of users increases.
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Yang Q, Wang H, Wu X, Wang T, Zhang S, Liu N (2021) Secure blockchain platform for industrial IoT with trusted computing hardware. IEEE Internet Things Mag 4(4):86–92
Lee I, Sokolsky O, Chen S, Hatcliff J, Jee E, Kim B, King A et al (2011) Challenges and research directions in medical cyber-physical systems. Proc IEEE 100(1):75–90
Xu J, Xue K, Li S, Tian H, Hong J, Hong P, Nenghai Y (2019) Healthchain: a blockchain-based privacy preserving scheme for large-scale health data. IEEE Internet Things J 6(5):8770–8781
Samuel O et al (2022) An anonymous IoT-based E-health monitoring system using blockchain technology. IEEE Syst J
Ktari J et al (2022) IoMT-based platform for E-health monitoring based on the blockchain. Electronics 11(15):2314
Dammak B et al (2022) Lorachaincare: an IoT architecture integrating blockchain and lora network for personal health care data monitoring. Sensors 22(4):1497
Shrestha NM, Alsadoon A, Prasad PWC, Hourany L, Elchouemi A (2016) Enhanced e-health framework for security and privacy in healthcare system. In: 2016 Sixth International Conference on Digital Information Processing and Communications (ICDIPC), pp 75–79. IEEE
Filkins BL et al (2016) Privacy and security in the era of digital health: what should translational researchers know and do about it? Am J Transl Res 8(3):1560
Bonomi F et al (2012) Fog computing and its role in the internet of things. In: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing
Yi S, Li C, Li Q (2015) A survey of fog computing: concepts, applications and issues. In: Proceedings of the 2015 Workshop on Mobile Big Data
Abbas N et al (2017) Mobile edge computing: a survey. IEEE Internet Things J 5(1):450–465
Hu YC et al (2015) Mobile edge computing–a key technology towards 5G. ETSI White Pap 11(11):1–16
Singh A, Chatterjee K, Satapathy SC (2022) TrIDS: an intelligent behavioural trust based IDS for smart healthcare system. Clust Comput 1–23
Kumar A, Krishnamurthi R, Nayyar A, Sharma K, Grover V, Hossain E (2020) A novel smart healthcare design, simulation, and implementation using healthcare 4.0 processes. IEEE Access 8:118433–118471
Mekki N, Hamdi M, Aguili T (2018) A privacy-preserving scheme using chaos theory for wireless body area network. In: 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC). IEEE
Iwaya LH et al (2019) Mobile health systems for community-based primary care: identifying controls and mitigating privacy threats. JMIR mHealth uHealth 7(3):e11642
Ramani V et al (2018) Secure and efficient data accessibility in blockchain based healthcare systems. In: 2018 IEEE Global Communications Conference (GLOBECOM). IEEE
Zyskind G, Nathan O (2015) Decentralizing privacy: Using blockchain to protect personal data. In: 2015 IEEE Security and Privacy Workshops. IEEE
Zhang R, Xue R, Liu L (2019) Security and privacy on blockchain. ACM Comput Surv (CSUR) 52(3):1–34
Halpin H, Piekarska M (2017) Introduction to security and privacy on the blockchain. In: 2017 IEEE European Symposium on Security and Privacy Workshops (EuroS &PW). IEEE
Lu Y, Huang X, Dai Y, Maharjan S, Zhang Y (2019) Blockchain and federated learning for privacy-preserved data sharing in industrial IoT. IEEE Trans Ind Inform 16(6):4177–4186
Kshetri N (2017) Blockchain’s roles in strengthening cybersecurity and protecting privacy. Telecommun Policy 41(10):1027–1038
Sathya D, Ganesh Kumar P (2017) Secured remote health monitoring system. Healthc Technol Lett 4(6):228–232
Hathaliya JJ, Tanwar S (2020) An exhaustive survey on security and privacy issues in Healthcare 4.0. Comput Commun 153:311–335
Yue X et al (2016) Healthcare data gateways: found healthcare intelligence on blockchain with novel privacy risk control. J Med Syst 40:1–8
Zhang J, Xue N, Huang X (2016) A secure system for pervasive social network-based healthcare. IEEE Access 4:9239–9250
Xia Q et al (2017) BBDS: blockchain-based data sharing for electronic medical records in cloud environments. Information 8(2):44
Gross MS, Miller Jr RC (2019) Ethical implementation of the learning healthcare system with blockchain technology. Blockchain Healthc Today, Forthcoming
Banerjee M, Lee J, Choo K-KR (2018) A blockchain future for internet of things security: a position paper. Digit Commun Netw 4(3):149–160
Gordon WJ, Catalini C (2018) Blockchain technology for healthcare: facilitating the transition to patient-driven interoperability. Comput Struct Biotechnol J 16:224–230
Theodouli A, Arakliotis S, Moschou K, Votis K, Tzovaras D (2018) On the design of a blockchain-based system to facilitate healthcare data sharing. In: 2018 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/12th IEEE International Conference on Big Data Science and Engineering (TrustCom/BigDataSE), pp 1374–1379. IEEE
Ismail L, Materwala H, Zeadally S (2019) Lightweight blockchain for healthcare. IEEE Access 7:149935–149951
Shahnaz A, Qamar U, Khalid A (2019) Using blockchain for electronic health records. IEEE Access 7:147782–147795
Tanwar S, Parekh K, Evans R (2020) Blockchain-based electronic healthcare record system for healthcare 4.0 applications. J Inf Secur Appl 50:102407
Nagori M et al (2020) Mutichain enabled EHR management system and predictive analytics. In: Smart Trends in Computing and Communications: Proceedings of SmartCom 2019. Springer, Singapore
Yang X et al (2022) A blockchain-based keyword search scheme with dual authorization for electronic health record sharing. J Inf Secur Appl 66:103154
Lai C et al (2022) Secure medical data sharing scheme based on traceable ring signature and blockchain. Peer-to-Peer Netw Appl 15(3):1562–1576
Huang H, Xiang SF, Xiao PZ, Wang W (2021) Blockchain-based eHealth system for auditable EHRs manipulation in cloud environments. J Parallel Distrib Comput 148:46–57
Zhuang Y, Sheets L, Shae Z, Tsai JP, Shyu C-R (2018) Applying blockchain technology for health information exchange and persistent monitoring for clinical trials. In: AMIA Annual Symposium Proceedings, vol 2018, p 1167. American Medical Informatics Association
Makhdoom I, Zhou I, Abolhasan M, Lipman J, Ni W (2020) PrivySharing: a blockchain-based framework for privacy-preserving and secure data sharing in smart cities. Comput Secur 88:101653
Kundalwal MK, Chatterjee K, Singh A (2019) An improved privacy preservation technique in health-cloud. ICT Express 5(3):167–172
Cao B et al (2020) Performance analysis and comparison of PoW, PoS and DAG based blockchains. Digit Commun Netw 6(4):480–485
Karantias K, Kiayias A, Zindros D (2020) Proof-of-burn. In: Financial Cryptography and Data Security: 24th International Conference, FC 2020, Kota Kinabalu, Malaysia, February 10–14, 2020 Revised Selected Papers 24. Springer
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AK took part in data curation, formal analysis, writing—original draft, writing—review and editing, validation. KC took part in conceptualization, writing—original draft, writing—review and editing, validation.
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Kumar, A., Chatterjee, K. A lightweight blockchain-based framework for medical cyber-physical system. J Supercomput 79, 12013–12041 (2023). https://doi.org/10.1007/s11227-023-05133-2
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DOI: https://doi.org/10.1007/s11227-023-05133-2