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Securing IoT-based healthcare systems from counterfeit medicine penetration using Blockchain

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Abstract

Modern ages have perceived an exemplar swing in warehousing electronic health records (EHRs) on cloud settings with the catholic solicitation of mobile healthcare systems, where mobile devices are assimilated by means of cloud computing to assist medicinal data interactions amid patients and surgeons. The distribution of EHRs has prodigious optimistic connotation for investigation of disease and doctors’ diagnosis. This radical model empowers healthcare amenities with truncated operating charge, high flexibility, as well as EHRs accessibility. It is of paramount significance to hitch therapeutic evidence sprinkled through healthcare establishments to provision exhaustive data investigation and accomplish custom-made healthcare. Nevertheless, this newfangled archetype also nurtures apprehensions about data privacy in addition to network security for healthcare schemes. Exactly how to steadfastly stake data among mobile consumers while pledging sophisticated security echelons in cloud is a perplexing concern. Blockchain, by means of a public ledger pigeonholed through its transparency, tamper-evidence, decentralization, unforgeability, verifiability, as well as anonymity can support in forming a secure healthcare scheme. Existing works primarily recompense devotion to centralized in addition to Blockchain-based mechanisms. Nonetheless, they could not acclimatize to the snowballing volume of global medical records and agonize from multifaceted application encounters, singly. In this paper, the authors recommend a Diagonal Digital Signature Algorithm (DDSA) with Merkle Patricia Hash Trie (MPHT) algorithm which is an innovative EHRs sharing framework that exploits Blockchain to expedite secure medical record sharing amid dissimilar patients and surgeons. The pragmatic outcomes illustrate that our scheme affords an operative elucidation for unswerving data interactions on cloud while conserving delicate medical records in contrast to impending intimidations. This work completely works for the Architecture of data can be shared in secured way in the IoT-based health care applications. In the proposed secure data sharing scheme for smart medical applications, the amount of exponential and bilinear mapping procedures in the course of decryption is habitually proportional to the complexity of access control policy. The scheme assessment along with the security investigation also exhibit the performance enhancements in light-weight access control; slightest network latency, transmission delay and file loss rate; with extraordinary security as well as data privacy, paralleled to the prevailing record sharing schemes.

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References

  • Al-Otaiby N, Kurdi H, Al-Megren S (2019) A hierarchical trust model for peer-to-peer networks. CMC 59(2):397–404. https://doi.org/10.32604/cmc.2019.06236

    Article  Google Scholar 

  • Amofa S, Sifah EB, Kwame OB, Abla S, Xia Q, Gee JC, Gao J. A Blockchain-based Architecture Framework for Secure Sharing of Personal Health Data, Proc. IEEE 20th Int. Conf. e-Health Netw. Appl. Services (Healthcom), Ostrava, Czech Republic, pp. 1–6, 2018.

  • Assis MRM, Bittencourt LF, Tolosona-Calasanz R (2014) Cloud Federation: Characterization and Conceptual Model, Proc. IEEE/ACM 7th Int. Conf. Utility Cloud Comput. (UCC), pp. 585–590.

  • Aujla GS, Jindal A 2021 A Decoupled Blockchain Approach for Edge-Envisioned IoT-Based Healthcare Monitoring, IEEE Journal on Selected Areas in Communications, Vol. 39, Issue.

  • Blummer T, Sean M, Cachin C. (2018) An Introduction to Hyperledger, Hyperledger under Linux Found., White Paper. [Online]. https://www.hyperledger.org/wp-content/uploads/2018/08/HL_Whitepaper_IntroductiontoHyperledger.pdf

  • Boulos MNK, Wilson JT, Clauson KA (2018) Geospatial blockchain: promises, challenges, and scenarios in health and healthcare. Int J Health Geogr 17:25

    Article  Google Scholar 

  • Chairscott G, Michael L, Chairpeterson P and Larry 2003 Proceedings of the Nineteenth ACM Symposium on Operating System Principles.

  • Chen M, Mao S, Liu Y (2014) Big Data: A Survey. Mobile Netw Appl 19(2):171–209

    Article  Google Scholar 

  • Cheng J et al (2020) Lightweight mobile clients privacy protection using trusted execution environments for blockchain. CMC 65(3):2247–2262. https://doi.org/10.32604/cmc.2020.011668

    Article  Google Scholar 

  • Deng Z et al (2019) Blockchain-based trusted electronic records preservation in cloud storage. CMC 58(1):135–151. https://doi.org/10.32604/cmc.2019.02967

    Article  Google Scholar 

  • Preetha AD, Kumar TP 2019 TP MLPPT-MHS: Multi-Layered Privacy Preserving and Traceable Mobile Health System, in Elsevier Procedia Computer Science, 165, pp.598–614, DOI:https://doi.org/10.1016/j.procs.2020.01.054

  • Preetha AD, Kumar TP 2019 Leveraging Fog Computing for a Secure and Smart Healthcare, International Journal of Recent Technology and Engineering, Vol.8, No.2, pp.6117–6122, 2019, DOI:https://doi.org/10.35940/ijrte.B3864.078219

  • Gaby G, Chandra L, Enderson T, Towards Secure Interoperability between Heterogeneous Blockchains using Smart Contracts, Proc. Future Technologies Conference (FTC), Vancouver, BC, Canada, pp. 73–81, 2017.

  • Gray C. (2014). Storj Vs. Dropbox: Why Decentralized Storage is the Future. [Online]. https://bitcoinmagazine.com/articles/storj-vs-dropbox-decentralized-storage-future-1408177107

  • Han W et al (2020) Privacy protection algorithm for the internet of vehicles based on local differential privacy and game model. CMC 64(2):1025–1038. https://doi.org/10.32604/cmc.2020.09815

    Article  Google Scholar 

  • Huanyu Wu et al. 2021 MB-EHR: A Multilayer Blockchain-based EHR, IEEE International Conference on Blockchain and Cryptocurrency, Australia,.

  • Jagadeeswari V 2018 et al. A Study on Medical Internet of Things and Big Data in Personalized Healthcare System, Health Information Science Systems, Vol.6, No.14, DOI:https://doi.org/10.1007/s13755-018-0049-x

  • Jiang X, Liu M, Yang C, Liu Y, Wang R (2019) A blockchain-based authentication protocol for WLAN mesh security access. CMC 58(1):45–49. https://doi.org/10.32604/cmc.2019.03863

    Article  Google Scholar 

  • Ji-Yi WU, Jian-Qing FU, Ping LD, Xie Q (2011) Study on the P2P cloud storage system. Acta Electonica Sinica 35(5):1100–1107

    Google Scholar 

  • Kaur H, Alam MA, Jameel R, Mourya AK, Chang V (2018) A Proposed solution and future direction for blockchain-based heterogeneous medicare data in cloud environment. J Med Syst 42:156

    Article  Google Scholar 

  • Kim DY (2019) Se Dong Min, and Seokhoon Kim, A DPN (Delegated Proof of Node) mechanism for secure data transmission in IoT Services. CMC 60(1):1–14. https://doi.org/10.32604/cmc.2019.06102

    Article  Google Scholar 

  • Kim D, Kim H, Kwak J (2020) Secure sharing scheme of sensitive data in the precision medicine system. CMC 64(3):1527–1553. https://doi.org/10.32604/cmc.2020.010535

    Article  Google Scholar 

  • Krumholz HM, Waldstriecher J (2016) The yale open data access (YODA) Project–A mechanism for data sharing. New England J Med 375(5):403–405

    Article  Google Scholar 

  • Le Nguyen B et al (2020) Privacy preserving blockchain technique to achieve secure and reliable sharing of IoT data. CMC 65(1):87–107. https://doi.org/10.32604/cmc.2020.011599

    Article  Google Scholar 

  • Li J, Jigang Wu, Chen L (2018) Block-secure: blockchain based scheme for secure P2P cloud storage. Inf Sci. https://doi.org/10.1016/j.ins.2018.06.071

    Article  Google Scholar 

  • Li C, Wang P, Sun C, Zhou Ke, Huang P (2019) WiBPA: an efficient data integrity auditing scheme without bilinear pairings. CMC 58(2):319–333. https://doi.org/10.32604/cmc.2019.03856

    Article  Google Scholar 

  • Li C et al (2019) A new anti-quantum proxy blind signature for blockchain-enabled internet of things. CMC 61(2):711–726. https://doi.org/10.32604/cmc.2019.06279

    Article  Google Scholar 

  • Li J et al (2020) A Distributed privacy preservation approach for big data in public health emergencies using smart contract and SGX. CMC 65(1):723–741. https://doi.org/10.32604/cmc.2020.011272

    Article  Google Scholar 

  • Liu J, Huang X, Liu JK (2015) Secure sharing of personal health records in cloud computing: cipher text policy attribute-based signcryption. Futute Gener Comput Syst 52:67–76

    Article  Google Scholar 

  • Liu X, Liu Q, Peng T, Wu J (2017) Dynamic access policy in cloud-based personal health record (PHR) systems. Inf Sci 379:62–81

    Article  Google Scholar 

  • Liu X, Xia Y, Yang W, Yang FL (2018) Secure and efficient querying over personal health records in cloud computing. Neuro Comput 274:99–105

    Google Scholar 

  • Liu Y et al (2020) A mobile cloud-based ehealth scheme. CMC 63(1):31–39. https://doi.org/10.32604/cmc.2020.07708

    Article  Google Scholar 

  • Liu J et al. 2018 BPDS: A blockchain based privacy-preserving data sharing for electronic medical records, Proc. IEEE Global Commun. Conf. (GLOBECOM). Abu Dhabi, United Arab Emirates, pp. 1–6

  • Mikula T, Jacobsen RH 2018 Identity and Access Management with Blockchain in Electronic Healthcare Records, Proc. 21st Euromicro Conf. Digit. Syst. Design (DSD), Prague, Czech Republic, pp. 699–706

  • Nguyen TC, Shen W, Lei Z, Xu W,. Yuan W, Song C. 2013. A Probabilistic Integrity Checking Approach for Dynamic Data in Untrusted Cloud Storage,” 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)., pp. 179–183

  • NR Pradhan et al. (2021) Blockchain Based Smart Healthcare System for Chronic-Illness Patient Monitoring, 3rd International Conference on Energy, Power, and Environment: Towards Clean Energy Technologies, India.

  • O’Driscoll A, Daugelaite J, Sleator RD (2013) Big Data, Hadoop, and Cloud Computing in Genomics. J Biomed Inform 46(5):774–781

    Article  Google Scholar 

  • Ra G-J, Roh C-H, Lee I-Y (2020) A Key Recovery system based on password-protected secret sharing in a permissioned blockchain. CMC 65(1):153–170. https://doi.org/10.32604/cmc.2020.011293

    Article  Google Scholar 

  • Raghupathi W, Raghupathi V (2014) Big data analytics in healthcare: promise and potential. Health Inf Sci Syst 2(1):3

    Article  Google Scholar 

  • Satyabrata A et al (2021) Protecting Personal Healthcare Record using Blockchain and Federated Learning Technologies, 23rd International Conference on Advanced Communication Technology, Korea(South)

  • Sharding Roadmap. Accessed: Jun. 15, 2020. [Online]. https://github.com/ethereum/wiki/wiki/Sharding-roadmap

  • Song R et al (2019) GaiaWorld: A novel blockchain system based on competitive PoS consensus mechanism. CMC 60(3):973–987. https://doi.org/10.32604/cmc.2019.06035

    Article  Google Scholar 

  • Steichen M, Fiz Pntiveros B, Norvill R, Shbair W (2018) Blockchain-Based Decentralized Access Control for IPFS, Proc. 2018 IEEE International Conference on Blockchain (Blockchain-2018), Halifax, NS, Canada, pp. 1499–1506.

  • (2017). Summary of the HIPAA Security Rule. [Online]. https://www.hhs.gov/hipaa/for-professionals/security/laws-regulations/

  • Tan Y et al (2020) Privacy protection for medical images based on DenseNet and coverless steganography. CMC 64(3):1797–1817. https://doi.org/10.32604/cmc.2020.010802

    Article  Google Scholar 

  • Thilakanathan D, Chen S, Nepal S, Calvo RA, Alem L (2014) A platform for secure monitoring and sharing of generic health data in the cloud. Future Gen Comput Syst 35:102–113

    Article  Google Scholar 

  • Thiyagarajan B et al. (2016) Enhanced and Secure Query Services in Cloud with Perfect Data Privacy for the Data Owner, in Proceedings of the International Conference on Soft Computing Systems, Springer India, pp.571–578, 2016. DOI:https://doi.org/10.1007/978-81-322-2674-1_54

  • Vardhini B (2021) A Blockchain based Electronic Medical Health Records Framework using Smart Contracts. International Conference on Computer Communication and Informatics, India.

  • Vijayakumar V et al (2019) Utilization of blockchain in medical healthcare record using hyperledger fabric. Int J Res Advent Technol 7(4):414–419. https://doi.org/10.32622/ijrat.74201922

    Article  Google Scholar 

  • Vijayakumar V et al (2018) Cloud computing on health care management. Int J Pure Appl Mathematics 118(14):547–555

    Google Scholar 

  • Vijayakumar V et al (2019) E-health cloud security using timing enabled proxy-Re-encryption. Mobile Network Appli 24:1034–1045. https://doi.org/10.1007/s11036-018-1060-9

    Article  Google Scholar 

  • Wang C, Yuan Y (2020) An efficient ciphertext-policy attribute-based encryption scheme with policy update. CMC 63(2):1031–1041. https://doi.org/10.32604/cmc.2020.06278

    Article  Google Scholar 

  • Wang J et al (2020) Data secure storage mechanism for sensor networks based on blockchain. CMC 65(3):2365–2384. https://doi.org/10.32604/cmc.2020.011567

    Article  Google Scholar 

  • Wang Q, Zhu F, Ji S, Ren Y (2020) Secure provenance of electronic records based on blockchain. CMC 65(2):1753–1769. https://doi.org/10.32604/cmc.2020.07366

    Article  Google Scholar 

  • Wang X, Zhang A, Ye X, Xie X (2019) Secure-aware and privacy preserving electronic health record searching in cloud environment. Int J Commun Syst 32:e3925. https://doi.org/10.1002/dac.3925

    Article  Google Scholar 

  • Weitzman ER, Kaci L, Mandl KD (2010) Sharing medical data for health research: the early personal health record experience. J Med Internet Res 12(2):1–10

    Article  Google Scholar 

  • Wood G (2014) Ethereum: a secure decentralized generalized transaction ledger. Ethereum Project Yellow Paper 151:1–32

    Google Scholar 

  • Xia Q, Sifah EB, Smahi A, Amofa S, Zhang XS (2017) BBDS: blockchain based data sharing for electronic medical records in cloud environments. Information 8(2):44

    Article  Google Scholar 

  • Xie J, Yu FR, Huang T, Xie R, Liu J, Liu Y (2019) A survey on the scalability of blockchain systems. IEEE Netw 33(5):166–173

    Article  Google Scholar 

  • Xue TF, Fu QC, Wang C, Wang XY (2017) A medical data sharing model via blockchain. Acta Automatica Sinica 43(9):1555–1562

    Google Scholar 

  • Zhang A, Lin X (2018) Towards secure and privacy preserving data sharing in e-health systems via consortium blockchain. J Med Syst 42:140. https://doi.org/10.1007/s10916-018-0995-5

    Article  Google Scholar 

  • Zhang Y, Qiu M, Tsai CW, Hassan MM, Alamri A (2017) Health-CPS: healthcare cyber-physical system assisted by cloud and big data. IEEE Syst J 11(1):88–95

    Article  CAS  Google Scholar 

  • Zhang K et al (2020) Privacy-preserving decision protocols based on quantum oblivious key distribution. CMC 64(3):1915–1928. https://doi.org/10.32604/cmc.2020.09836

    Article  Google Scholar 

  • Zhang R,Xue R, Liu L (2021) Security and privacy for healthcare blockchains, IEEE Transactions on Services Computing

  • Zhao Y et al (2019) Research on architecture of risk assessment system based on block chain. CMC 61(2):677–686. https://doi.org/10.32604/cmc.2019.05936

    Article  Google Scholar 

  • Zheng X, Mukkamala RR, Vatrapu R, Ordieres-Mere J 2018 Blockchain-based Personal Health Data Sharing System using Cloud Storage,Proc. IEEE 20th Int. Conf. e-Health Netw. Appl. Services (Healthcom), Ostrava, Czech Republic, pp. 1–6

  • Ting Le Z, Tzung HC 2021 A Patient-Centric Key Management Protocol for Healthcare Information System based on Blockchain, IEEE Conference on Dependable and Secure Computing, Japan

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  1. School of Computing Science and Engineering, Vellore Institute of Technology, 600 127, Chennai Campus, India

    A. Divya Preetha & T. S. Pradeep Kumar

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  1. A. Divya Preetha
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  2. T. S. Pradeep Kumar
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Correspondence to T. S. Pradeep Kumar.

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Preetha, A.D., Kumar, T.S.P. Securing IoT-based healthcare systems from counterfeit medicine penetration using Blockchain. Appl Nanosci 13, 1263–1275 (2023). https://doi.org/10.1007/s13204-021-01984-4

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