Abstract
In today's day and age, Internet Of Things data related to the patient's healthcare records maintenance is a critical process. With the proliferation of such a vast volume of data on healthcare, it becomes clear that the confidentiality and safety of this kind of confidential data on healthcare is a topic of more importance. Computer scientists and medical doctors are all worried about the security and privacy issues related to patients' healthcare data. This study of IoT-enabled Privacy-Conserving Health Record Virtual Sharing using Jungle computing addresses the various acts related to patients' healthcare data. Jungle computing supports a high level of heterogeneity as it includes various types of computing, such as grid, cloud, cluster, etc., to achieve maximum performance and minimum complexity.Thisstudy primarily reflects on the prevention methods currently in use or being developed for healthcare data security and privacy conservation techniques and the virtual sharing process and examined various research articles to explore the utilization of intelligent techniques in health systems of virtual sharing using jungle computing against security and privacy issues; the results of the proposed method show that The research suggested an IoT-enabled Privacy-Conserving process for storing and transferring highly protective Health records with 76.8% efficiency. The conservative privacy platform improves security based on identification, utility, data privacy, risk, reward, and security concerns accuracy by 47.98% higher than the existing processing schema. IoT-enabled privacy-conserving system is 45.7% efficient based on identification and security. IoT-enable privacy conserving system has the Training error detection by 73% more efficient than the existing system of probabilistic neural networks efficient.
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References
Alo UR, Nkwo FO, Nweke HF, Achi II, Okemiri HA (2022) Non-Pharmaceutical Interventions against COVID-19 Pandemic: review of contact tracing and social distancing technologies, protocols, apps security and open research directions. Sensors 22(1):280
Andrea R, SeftyWijayanti N (2021) Finite state machine model in jungle adventure game an introduction to survival skills. Int J Infor Eng Electr Business (IJIEEB) 13(4):55–61
Born J, Manica M (2021) Trends in deep learning for property-driven drug design. Curr Med Chem 28(38):7862–7886
Cano-Ibáñez N, Maes-Carballo M, Khan KS (2022) Big data, metanalysis and sistematic reviews the jungle of statistics. Essential writing, communication and narrative skills for medical scientists before and after the COVID era. Springer, Cham, pp 19–36
Chernetskyi V (2021) Development of grid computing middleware for Android smartphones
Debauche O, Mahmoudi S, Guttadauria A (2022) A new edge computing architecture for IoT and multimedia data management. Information 13(2):89
Friedrich B, Lübbe C, Steen EE, Bauer JM, Hein A (2022) Using sensor graphs for monitoring the effect on the performance of the OTAGO exercise program in older adults. Sensors 22(2):493
Hosen M, Ogbeibu S, Giridharan B, Cham TH, Lim WM, Paul J (2021) Individual motivation and social media influence on student knowledge sharing and learning performance: evidence from an emerging economy. Comput Educ 172:104262
Kumar A, Kumari M (2020) Multidisciplinary real-time model for smart agriculture using internet of things. PalArch’s J Archaeol Egypt/Egyptol 17(9):8028–8037
Kumar A, Sharma S, Singh A, Alwadain A, Choi BJ, Manual-Brenosa J, Goyal N (2022) Revolutionary Strategies analysis and proposed system for future infrastructure in internet of things. Sustainability 14(1):71
Latifaj M, Ciccozzi F, Sentilles S (2021) Find the way in the jungle of quality of service in industrial cloud: a systematic mapping study. In: CLOSER, pp. 151–160
Lee SA, Lee M, Jeong M (2021) The role of virtual reality on information sharing and seeking behaviors. J Hosp Tour Manag 46:215–223
Li S, Zhu J, Chen Z, Luo T (2021) Double-layer energy management system based on energy sharing cloud for virtual residential microgrid. Appl Energy 282:116089
Lu J, Zhao M, Golestan S, Dragicevic T, Pan X, Guerrero JM (2021) Distributed event-triggered control for reactive, unbalanced, and harmonic power sharing in islanded AC microgrids. IEEE Trans Industr Electron 69(2):1548–1560
Mangal D, Agrawal D, Tiwari S, Singh T (2021) IoT enabled smart aiport system to avoid Covid-19. In: 2021 5th international conference on information systems and computer networks (ISCON), IEEE, pp. 1–5
Manoj BC, Auxillia DJ (2022) RDAD: an efficient distributed multi-layered resource handler in jungle computing. Wireless Pers Commun 122(1):845–860
Molina-Viloria EA, Becerra JEC, Velasco FEH (2021) Reactive power sharing among distributed generators in a microgrid by using virtual current. Int J Power Electron Drive Syst 12(1):99
Rathor S, Kumari S (2021) Smart agriculture system using iot and cloud computing. In: 2021 5th international conference on information systems and computer networks (ISCON) . IEEE, pp. 1–4
Sharma N, Bhushan B, Kaushik I, Debnath NC (2021) Applicability of blockchain technology in healthcare industry applications, challenges, and solutions. Efficient data handling for massive internet of medical things. Springer, Cham, pp 339–370
Simpson J, Richards D (2021) Taming the interaction jungle: embodiment is all you need. In: CUI 2021–3rd conference on conversational user interfaces, pp. 1–4
Sørum L (2021) Sharing of team knowledge in virtual software development teams, Master's thesis, ntnu
Tiwari A, Mehrotra V, Goel S, Naman K, Maurya S, Agarwal R (2021) Developing trends and challenges of digital forensics. In: 2021 5th international conference on information systems and computer networks (ISCON) IEEE, pp. 1–5
Vijay AS, Parth N, Doolla S, Chandorkar MC (2021) An adaptive virtual impedance control for improving power sharing among inverters in islanded AC microgrids. IEEE Trans Smart Grid 12(4):2991–3003
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Sivaparthipan, C.B., Gnanasigamani, L.J., Agrawal, R. et al. Internet of things enabled privacy-conserving health record virtual sharing using jungle computing. J Comb Optim 45, 111 (2023). https://doi.org/10.1007/s10878-023-01048-z
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DOI: https://doi.org/10.1007/s10878-023-01048-z