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IoT Enabled Technology in Secured Healthcare: Applications, Challenges and Future Directions

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Cognitive Internet of Medical Things for Smart Healthcare

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 311))

Abstract

In current years, Internet of Things has come a long way and is well emerged within many organizations and fields covering the sector of healthcare. The continuous execution of IoT within the field of healthcare will direct to a fast rise in productivity and examination of data. In reference to medical gadgets, developments in technology will enhance the results of patients with superior analytics. Thus, this chapter introduces Internet of Health Things with wearable healthcare systems in detail and shows the inter-association of interaction allowed medical gadgets and their combination to broader scale networks of healthcare to enhance the health of patients, and because of this sensitive behavior of systems related to health. Still, It meets various issues, specifically in regards of security, privacy and scalability. This work also presents an overview of approaches based on IoT for healthcare and healthcare aided living as well. Moreover, this chapter illustrates IoT networks for healthcare and the different characteristics of IoT confidentiality and safety including security needs. Also, how distinct technologies such as augmented reality, big data, cloud computing and many more can be implemented in the reference of healthcare are described and ultimately, some pathways for forthcoming work on healthcare based on IoT based on a collection of challenges and open issues are presented.

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References

  1. Mutlag, A.A., Ghani, M.K., Arunkumar, N., Mohammed, M.A., Mohd, O.: Enabling technologies for fog computing in healthcare IoT systems. Fut. Gener. Comput. Syst. 90, 62–78 (2019)

    Article  Google Scholar 

  2. Min, M., Wan, X., Xiao, L., Chen, Y.B., Xia, M., Wu, D., Dai, H.: Learning-based privacy-aware offloading for healthcare IoT with energy harvesting. IEEE Internet Things J. 6, 4307–4316 (2019)

    Article  Google Scholar 

  3. S.R. Moosavi, E. Nigussie, M. Levorato, S. Virtanen, J. Isoaho: Performance Analysis of End-to-End Security Schemes in Healthcare IoT. ANT/SEIT (2018)

    Google Scholar 

  4. Gope, P., Hwang, T.: BSN-Care: a secure IoT-based modern healthcare system using body sensor network. IEEE Sens. J. 16, 1368–1376 (2016)

    Article  Google Scholar 

  5. Yeh, K.: A secure IoT-based healthcare system with body sensor networks. IEEE Access 4, 10288–10299 (2016)

    Article  Google Scholar 

  6. Mahmoud, M.M., Rodrigues, J.J., Ahmed, S.H., Shah, S.C., Al-Muhtadi, J., Korotaev, V., Albuquerque, V.H.: Enabling technologies on cloud of things for smart healthcare. IEEE Access 6, 31950–31967 (2018)

    Article  Google Scholar 

  7. Zhu, N., Diethe, T., Camplani, M., Tao, L., Burrows, A., Twomey, N., Kaleshi, D., Mirmehdi, M., Flach, P.A., Craddock, I.: Bridging e-Health and the Internet of Things: The SPHERE project. IEEE Intell. Syst. 30, 39–46 (2015)

    Article  Google Scholar 

  8. Henze, M., Hermerschmidt, L., Kerpen, D., Häußling, R., Rumpe, B., Wehrle, K.: A comprehensive approach to privacy in the cloud-based Internet of Things. Fut. Gener. Comput. Syst. 56, 701–718 (2016)

    Article  Google Scholar 

  9. Baker, S.E., Xiang, W., Atkinson, I.M.: Internet of Things for smart healthcare: technologies, challenges, and opportunities. IEEE Access 5, 26521–26544 (2017)

    Article  Google Scholar 

  10. Marques, G., Pitarma, R., Garcia, N.M., Pombo, N.: Internet of Things architectures, technologies, applications, challenges, and future directions for enhanced living environments and healthcare systems: a review. Electronics 8, 1081 (2019)

    Article  Google Scholar 

  11. Elsts, A., Fafoutis, X., Woznowski, P., Tonkin, E., Oikonomou, G., Piechocki, R.J., Craddock, I.: Enabling healthcare in smart homes: the SPHERE IoT network infrastructure. IEEE Commun. Mag. 56, 164–170 (2018)

    Article  Google Scholar 

  12. Chang, S., Chiang, R., Wu, S., Chang, W.: A context-aware, interactive M-Health system for diabetics. IT Profess. 18, 14–22 (2016)

    Article  Google Scholar 

  13. Pasluosta, C.F., Gassner, H., Winkler, J., Klucken, J., Eskofier, B.M.: An emerging era in the management of Parkinson’s disease: wearable technologies and the Internet of Things. IEEE J. Biomed. Health Inf. 19, 1873–1881 (2015)

    Article  Google Scholar 

  14. Zhou, W., Jia, Y., Peng, A., Zhang, Y., Liu, P.: The effect of IoT new features on security and privacy: new threats, existing solutions, and challenges yet to be solved. IEEE Internet Things J. 6, 1606–1616 (2019)

    Article  Google Scholar 

  15. Marques, G., Pitarma, R.: mHealth: indoor environmental quality measuring system for enhanced health and well-being based on internet of things. J. Sens. Actuat. Netw. 8, 43 (2019)

    Article  Google Scholar 

  16. Bisio, I., Garibotto, C., Lavagetto, F., Sciarrone, A.: When eHealth meets IoT: a smart wireless system for post-stroke home rehabilitation. IEEE Wirel. Commun. 26, 24–29 (2019)

    Article  Google Scholar 

  17. Wolgast, G., Ehrenborg, C., Israelsson, A., Helander, J., Johansson, E., Månefjord, H.: Wireless body area network for heart attack detection [Education Corner]. IEEE Antennas Propag. Mag. 58, 84–92 (2016)

    Article  Google Scholar 

  18. Zhou, J., Cao, Z., Dong, X., Vasilakos, A.V.: Security and privacy for cloud-based IoT: challenges. IEEE Commun. Mag. 55, 26–33 (2017)

    Article  Google Scholar 

  19. Milici, S., Lorenzo, J., Lázaro, A., Villarino, R.M., Girbau, D.: Wireless breathing sensor based on wearable modulated frequency selective surface. IEEE Sens. J. 17, 1285–1292 (2017)

    Article  Google Scholar 

  20. Kaur, R., Kaur, K., Khamparia, A., Anand, D.: An Improved and adaptive approach in ANFIS to predict knee diseases. Int. J. Healthcare Inf. Syst. Inf. (IJHISI) 15(2), 22–37 (2020)

    Article  Google Scholar 

  21. Costa, S.E., Rodrigues, J.J., Silva, B.M., Isento, J.N., Corchado, J.M.: Integration of wearable solutions in aal environments with mobility support. J. Med. Syst. 39, 1–8 (2015)

    Article  Google Scholar 

  22. Brito, M.S., Hoque, S., Steinke, R., Willner, A., Magedanz, T.: Application of the Fog computing paradigm to Smart Factories and cyber-physical systems. Trans. Emerg. Telecommun. Technol. 29 (2018)

    Google Scholar 

  23. Yang, G., Deng, J., Pang, G., Zhang, H., Li, J., Deng, B., Pang, Z., Xu, J., Jiang, M., Liljeberg, P., Xie, H., Yang, H.: An IoT-enabled stroke rehabilitation system based on smart wearable armband and machine learning. IEEE J. Transl. Eng. Health Med. 6, 1–10 (2018)

    Google Scholar 

  24. Khamparia, A., Saini, G., Gupta, D., Khanna, A., Tiwari, S., de Albuquerque, V.H.C.: Seasonal crops disease prediction and classification using deep convolutional encoder network. Circuits Syst. Signal Process. (2019). https://doi.org/10.1007/s00034-019-01041-0.

  25. Lee, E.A.: Cyber physical systems: design challenges. In: 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), pp. 363–369 (2008)

    Google Scholar 

  26. Olaronke, I., Oluwaseun, O.: Big data in healthcare: prospects, challenges and resolutions. In: 2016 Future Technologies Conference (FTC), pp. 1152–1157 (2016)

    Google Scholar 

  27. Khamparia, A., Gupta, D., de Albuquerque, V.H.C., Sangaiah, A.K., Jhaveri, R.H.: Internet of health things driven deep learning system for detection and classification of cervical cells using transfer learning. J. Supercomput. (2020). https://doi.org/10.1007/s11227-020-03159-4

  28. Islam, S.M., Kwak, D., Kabir, M.H., Hossain, M., Kwak, K.: The internet of things for health care: a comprehensive survey. IEEE Access 3, 678–708 (2015)

    Article  Google Scholar 

  29. Zanero, S.: When cyber got real: challenges in securing cyber-physical systems. IEEE Sens. 2018, 1–4 (2018)

    Google Scholar 

  30. Silva, B.M., Rodrigues, J.J., Díez, I.D., Coronado, M.L., Saleem, K.: Mobile-health: a review of current state in 2015. J. Biomed. Inform. 56, 265–272 (2015)

    Article  Google Scholar 

  31. Habibzadeh, H., Dinesh, K., Shishvan, O.R., Boggio-Dandry, A., Sharma, G., Soyata, T.: A survey of healthcare internet of things (HIoT): a clinical perspective. IEEE Internet Things J. 7, 53–71 (2020)

    Article  Google Scholar 

  32. Machado, F.M., Koehler, I.M., Ferreira, M.S., & Sovierzoski, M.A.: An mHealth remote monitor system approach applied to MCC using ECG signal in an android application. WorldCIST 19 (2016)

    Google Scholar 

  33. Singh, A., Mehta, J.C., Anand, D., Nath, P., Pandey, B., Khamparia, A.: An intelligent hybrid approach for hepatitis disease diagnosis: combining enhanced k-means clustering and improved ensemble learning. Exp. Syst. (2020). https://doi.org/10.1111/exsy.12526

  34. Rodrigues, J.J., Segundo, D.B., Junqueira, H.A., Sabino, M.H., Prince, R.M., Al-Muhtadi, J., Albuquerque, V.H.: Enabling technologies for the internet of health things. IEEE Access 6, 13129–13141 (2018)

    Article  Google Scholar 

  35. Zinner, T., Wamser, F., Leopold, H., Dobre, C., Mavromoustakis, C.X., Garcia, N.M.: Matching requirements for ambient assisted living and enhanced living environments with networking technologies (Chap. 5) (2017)

    Google Scholar 

  36. Tiwari, R., Sharma, N., Kaushik, I., Tiwari, A., Bhushan, B.: Evolution of IoT and data analytics using deep learning. In: 2019 international conference on computing, communication, and intelligent systems (ICCCIS) (2019). https://doi.org/10.1109/icccis48478.2019.8974481

  37. Alsamhi, S.H., Ma, O., Ansari, M., Almalki, F.A.: Survey on collaborative smart drones and internet of things for improving smartness of smart cities. IEEE Access 7, 128125–128152 (2019)

    Article  Google Scholar 

  38. Jadon, S., Choudhary, A., Saini, H., Dua, U., Sharma, N., Kaushik, I.: Comfy smart home using IoT. SSRN Electron. J. (2020). https://doi.org/10.2139/ssrn.3565908

    Article  Google Scholar 

  39. Rajkumar, R.Y., Lee, I., Sha, L., Stankovic, J.A.: Cyber-physical systems: the next computing revolution. In: Design Automation Conference (2010), pp. 731–736

    Google Scholar 

  40. Rubí, J.N., Gondim, P.R.: IoMT platform for pervasive healthcare data aggregation, processing, and sharing based on OneM2M and OpenEHR. Sensors 19 (2019)

    Google Scholar 

  41. Varshney, T., Sharma, N., Kaushik, I., Bhushan, B. (2019). Architectural model of security threats & their countermeasures in IoT. In: 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS). https://doi.org/10.1109/icccis48478.2019.8974544

  42. Yassein, M.B., Hmeidi, I., Alharbi, M.M., Mrayan, L., Mardini, W., Khamayseh, Y.: IoT-based healthcare systems: a survey. DATA ’19 (2018)

    Google Scholar 

  43. Khamparia, A., Singh, A., Anand, D., Gupta, D., Khanna, A., Arun Kumar, N., Tan, J.: A novel deep learning based multi-model ensemble methods for prediction of neuromuscular disorders. Neural Comput. Appl. (2018). https://doi.org/10.1007/s00521-018-3896-0

  44. Jaidka, H., Sharma, N., Singh, R.: Evolution of IoT to IIoT: Applications & challenges. SSRN Electron. J. (2020). https://doi.org/10.2139/ssrn.3603739

    Article  Google Scholar 

  45. Arora, A., Kaur, A., Bhushan, B., & Saini, H.: Security concerns and future trends of Internet of Things. In: 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) (2019). https://doi.org/10.1109/icicict46008.2019.8993222

  46. Jara, A.J., Zamora-Izquierdo, M.A., Gómez-Skarmeta, A.F.: Interconnection framework for mHealth and remote monitoring based on the Internet of Things. IEEE J. Sel. Areas Commun. 31, 47–65 (2013)

    Article  Google Scholar 

  47. Pang, Z., Chen, Q., Tian, J., Zheng, L., Dubrova, E.: Ecosystem analysis in the design of open platform-based in-home healthcare terminals towards the Internet-of-Things. In: Proceedings of International Conference on Advanced Communications Technology (ICACT) (2013), pp. 529–534

    Google Scholar 

  48. Fan, Y.J., Yin, Y.H., Xu, L., Zeng, Y., Wu, F.: IoT-based smart rehabilitation system. IEEE Trans. Industr. Inf. 10, 1568–1577 (2014)

    Article  Google Scholar 

  49. Jia, X., Chen, H., Qi, F.: Technical models and key technologies of E-Health Monitoring. In: 2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom), pp. 23–26 (2012)

    Google Scholar 

  50. Chouhan, V., Singh, S.K., Khamparia, A., Gupta, D., Tiwari, P., Moreira, C., Damaševičius, R., de Albuquerque, V.H.C.: A novel transfer learning based approach for pneumonia detection in chest X-ray images. Appl. Sci. 10(2), 559 (2020)

    Google Scholar 

  51. Aranki, D., Kurillo, G., Yan, P., Liebovitz, D.M., Bajcsy, R.: Real-time tele-monitoring of patients with chronic heart-failure using a smartphone: lessons learned. IEEE Trans. Affect. Comput. 7, 206–219 (2016)

    Article  Google Scholar 

  52. Talal, M., Zaidan, A.A., Zaidan, B.B., Albahri, A.S., Alamoodi, A.H., Albahri, O.S., Alsalem, M.A., Lim, C.K., Tan, K.L., Shir, W.L., Mohammed, K.I.: Smart home-based IoT for real-time and secure remote health monitoring of triage and priority system using body sensors: multi-driven systematic review. J. Med. Syst. 43, 1–34 (2019)

    Article  Google Scholar 

  53. Dash, S., Shakyawar, S.K., Sharma, M., Kaushik, S.: Big data in healthcare: management, analysis and future prospects. J. Big Data 6, 1–25 (2019)

    Article  Google Scholar 

  54. Ramya, S., Karthikeyan, P., Kaviya, K., Ananthi, B., Sachin, M.C.: IoT based smart health monitoring system: a recent approach and analysis. Int. J. Adv. Res. Innov. Ideas Educ. 5, 1403–1410 (2019)

    Google Scholar 

  55. Harjani, M., Grover, M., Sharma, N., Kaushik, I.: Analysis of various machine learning algorithm for cardiac pulse prediction. In: International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2019). https://doi.org/10.1109/icccis48478.2019.8974519

  56. Khamparia, A., Saini, G., Pandey, B., Tiwari, S., Gupta, D., Khanna, A.: KDSAE: chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network. Multimedia Tools Appl. https://doi.org/10.1007/s11042-019-07839-z (2019)

  57. Al-khafajiy, M., Webster, L., Baker, T., Waraich, A.: Towards fog driven IoT healthcare: challenges and framework of fog computing in healthcare. ICFNDS ’18 (2018).

    Google Scholar 

  58. Goel, A.K., Rose, A., Gaur, J., Bhushan, B.: Attacks, countermeasures and security paradigms in IoT. In: 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) (2019). https://doi.org/10.1109/icicict46008.2019.8993338

  59. Farahani, B., Firouzi, F., Chang, V.I., Badaroglu, M., Constant, N., Mankodiya, K.: Towards fog-driven IoT eHealth: promises and challenges of IoT in medicine and healthcare. Fut. Gener. Comput. Syst. 78, 659–676 (2018)

    Article  Google Scholar 

  60. Miotto, R., Wang, F., Wang, S., Jiang, X., Dudley, J.: Deep learning for healthcare: review, opportunities and challenges. Brief. Bioinform. 19(6), 1236–1246 (2018)

    Article  Google Scholar 

  61. Siyal, A.A., Junejo, A.Z., Zawish, M., Ahmed, K., Khalil, A., Soursou, G.: Applications of blockchain technology in medicine and healthcare: challenges and future perspectives. Cryptography 3, 3 (2019)

    Article  Google Scholar 

  62. Tuli, S., Tuli, S., Wander, G., Wander, P., Gill, S.S., Dustdar, S., Sakellariou, R., Rana, O.: Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions. Internet Technol. Lett. 3 (2020)

    Google Scholar 

  63. Elhoseny, M., Ramírez-González, G., Abu-Elnasr, O.M., Shawkat, S.A., Arunkumar, N., Farouk, A.: Secure medical data transmission model for iot-based healthcare systems. IEEE Access 6, 20596–20608 (2018)

    Article  Google Scholar 

  64. Alam, M.M., Malik, H., Khan, M.I., Pardy, T., Kuusik, A., Moullec, Y.L.: A survey on the roles of communication technologies in IoT-based personalized healthcare applications. IEEE Access 6, 36611–36631 (2018)

    Article  Google Scholar 

  65. Luo, E., Bhuiyan, M.Z., Wang, G., Rahman, M.A., Wu, J., Atiquzzaman, M.: PrivacyProtector: privacy-protected patient data collection in IoT-based healthcare systems. IEEE Commun. Mag. 56, 163–168 (2018)

    Article  Google Scholar 

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Authors and Affiliations

  1. HMR Institute of Technology and Management, Delhi, India

    Sukriti Goyal, Nikhil Sharma & Bharat Bhushan

  2. ASET, Amity University, Uttar Pradesh, Noida, India

    Achyut Shankar

  3. Karunya Institute of Technology and Sciences, Coimbatore, India

    Martin Sagayam

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  1. Sukriti Goyal
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  2. Nikhil Sharma
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  4. Achyut Shankar
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  5. Martin Sagayam
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Correspondence to Bharat Bhushan .

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Editors and Affiliations

  1. Department of Computer and Information Technology, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India

    Aditya Khamparia

  3. Department of Computer Science Engineering, Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Deepak Gupta

  4. Department of Computer Applications, Alagappa University, Karaikudi, Tamil Nadu, India

    K. Shankar

  5. Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

    Adam Slowik

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Goyal, S., Sharma, N., Bhushan, B., Shankar, A., Sagayam, M. (2021). IoT Enabled Technology in Secured Healthcare: Applications, Challenges and Future Directions. In: Hassanien, A.E., Khamparia, A., Gupta, D., Shankar, K., Slowik, A. (eds) Cognitive Internet of Medical Things for Smart Healthcare. Studies in Systems, Decision and Control, vol 311. Springer, Cham. https://doi.org/10.1007/978-3-030-55833-8_2

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