Big Data and IoT for U-healthcare Security

  • Mechelle Grace Zaragoza
  • Haeng-Kon KimEmail author
  • Roger Y. Lee
Part of the Studies in Computational Intelligence book series (SCI, volume 719)


Big Data is a latest topic of interest by many researchers because of its big potential applied in many areas of science and technology. Big Data is by far captivating strong roots in the healthcare ecosystem, but this healthcare data are becoming more complex, which are challenging to solve using common database management tools or simply the traditional data processing application along with the security systems. On the other hand, IoT remainds you to track your health like fitness devices, calorie meters, heart rate monitors, to name a few up to your fridge reminding you that it is basically running out of water.” Big Data and IoT are built on networks and cloud computing of gathering data using sensors but challenges using both especially the security for health care is very vital. IoT and Big Data have the potential to transform the way healthcare providers use sophisticated technologies from their clinical and other data repositories and make informed decisions, but without the right security and encryption solution, Big Data and IoT can mean big problems, especially on healthcare security systems. In this study, we discuss the use and application of IoT and Big Data for u-health care. We have presented this architecture to address the mentioned challenges in this study. Data privacy of patient and user data is a critical requirement. The architecture will access controls to medical device data. The patient should be in control of what is being viewed by whom and will allow him/her to view and set the access control policies, maintaining anonymity and masking of data wherever possible.


U-health care IoT Big Data Security systems 



This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the C-ITRC (Convergence Information Technology Research Center) support program (IITP-2016-H8601-15-1007) supervised by the IITP (Institute for Information & Communication Technology Promotion).

This research was supported by the International Research & Development Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, and Future Planning (Grant Number: K 2014075112).


  1. 1.
    Buckley, J.: 7 Big Data Security Concerns. Qubole, 7 May 2015Google Scholar
  2. 2.
    Bates, D.W., Kuperman, G.J., Wang, S., Gandhi, T., Kittler, A., Volk, L., Spurr, C., Khorasani, R., Tanasijevic, M., Middleton, B.: Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J. Am. Med. Inf. Assoc. 10(6), 523–530 (2003)CrossRefGoogle Scholar
  3. 3.
    Cyberattacks Will Cost U.S. Health Systems $305 Billion Over Five Years, Accenture Forecasts, 14 Oct 2015Google Scholar
  4. 4.
    Sheingold, B.H., Hahn, J.A.: The history of healthcare quality: the first 100 years 1860–1960. Int. J. Afr. Nurs. Sci. 1, 18–22 (2014)Google Scholar
  5. 5.
    ObamaCare Facts: Facts on the Affordable Care Act.
  6. 6.
    Health care reform is helping millions of Americans get better health care. That’s worth fighting for.
  7. 7.
    Howarth, F.: Security challenges in the US healthcare sector, Bloor Research, A white paper, December 2010Google Scholar
  8. 8.
    Khanna, A., Misra, P.: The Internet of Things for Medical Devices—Prospects, Challenges and the Way Forward, A white paperGoogle Scholar
  9. 9.
    Vermesan, O., Friess, P.: Internet of Things: Converging Technologies for Smart Environments and Integrated EcosystemsGoogle Scholar
  10. 10.
    Ar. Amster: Internet of Things: Big Data and Data Security Problems, 27 Apr 2016Google Scholar
  11. 11.
    Junk, D.: Big Data vs Traditional Approaches to Enterprise Reporting. Accessed 18 Sept 2015
  12. 12.
    Shan, T.: Big Data 3Vs, Leading by Game-Changing Cloud, Big Data and IoT Innovations, 10 Oct 2013Google Scholar
  13. 13.
    Sun, J., Reddy, C.K.: Big Data Analytics for Healthcare.
  14. 14.
    Kayyali, B., Knott, D., Kuiken, S.V.: The big-data revolution in US health care: accelerating value and innovationGoogle Scholar
  15. 15.
    BIG DATA SECURITY Vormetric Data Security Use Cases.
  16. 16.
    Raghupathi, W., Raghupathi, V.: Big data analytics in healthcare: promise and potential. J. Health Inf. Sci. Syst.Google Scholar
  17. 17.
    Dimitrov, D.V.: Medical internet of things and big data in healthcare. Health Inf. Res. 22(3), 156–163 (2016)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Mechelle Grace Zaragoza
    • 1
  • Haeng-Kon Kim
    • 1
    Email author
  • Roger Y. Lee
    • 2
  1. 1.Catholic University of DaeguGyeongsanSouth Korea
  2. 2.Central Michigan UniversityMount PleasantUSA

Personalised recommendations