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Hadoop Based Architecture for a Smart, Secure and Efficient Insurance Solution Using IoT

  • P. K. Binu
  • Akhil Harikrishnan
  • Sreejith
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 771)

Abstract

The “Internet of Things” (IoT) is among the most highly subsidized and promising topics in both academia and industry these days. Contemporary developments in digital technology have raised the interest of many researchers towards implementation in this area. The influence of IoT within the insurance field is vital. This chapter asserts an innovative concept of IoT pooled with an insurance application, which is beneficial for insurance companies to monitor and analyze the health of their clients continuously. Numerous insurance companies are clustered together to provide a standardized health status monitoring of clients. Since there is a large amount data generated by the system, we adopt Hadoop in the background to map the data effectively and to reduce it into a simpler format. We assimilate Sqoop tool to enable data transfer between Hadoop and RDBMS, in consort with Apache Hive for providing a database query interface to the Hadoop. By consuming the output from Hadoop MapReduce, a non-probabilistic binary linear classifier predicts the policyholder’s chances of developing some health problems. Ultimately, the resultant outcomes are presented on the user’s smartphones. The Apache Ranger framework interweaved with the Hadoop ecosystem aims to ensure data confidentiality. The endowments are granted to the policy holders based on the health report generated by our system. To evaluate the efficiency of the system, experiments are conducted using various policyholder’s health datasets and from the results, it is observed that SVM predicts sepsis with an accuracy of approximately 86%. While testing with the medical dataset, SVM proved to be more accurate than the C4.5 algorithm.

Keywords

Internet of things (IoT) Hadoop SVM Big data Hive 

Notes

Acknowledgments

We would like to express our sincere gratitude to the faculty, Dept. of Computer Science and Applications, Amrita Vishwa Vidyapeetham, Amritapuri for their incessant support and guidance throughout this project. Our special thanks to Dr. M. R. Kaimal, Chairman, Dept. of CSA, Amrita Vishwa Vidyapeetham, Amritapuri for his support throughout the venture. We would also like to appreciate all the reviewers for their valuable opinions for improving the work.

References

  1. 1.
    P. Dineshkumar. 2016. Big data analytics of IoT based health care monitoring system, 55–60.Google Scholar
  2. 2.
    Jia, X., H. Chen, and F. Qi. 2012. Technical models and key technologies of e-health monitoring. In 2012 IEEE 14th International Conference e-health networking, application & services 2012, 23–26.Google Scholar
  3. 3.
    Joshi, M. 2015. Internet of Things: A Review Introduction: IOT Framework IoS IoE IoT Use Cases IoM,” no. March, 2015.Google Scholar
  4. 4.
    Rathore, M.M., A. Ahmad, and A. Paul. 2016. IoT-based smart city development using big data analytical approach. In 2016 IEEE international conference on automation, 1–8.Google Scholar
  5. 5.
    Behera, R.K., S. Gupta, and A. Gautam. 2016. Big-data empowered cloud centric Internet of Things. In Proceedings—2015 international conference on man machine interfacing, MAMI 2015.Google Scholar
  6. 6.
    Duan, F., K. Li, B. Li, and S. Yang. 2015. Research of smart power utilization service system based on IoT. no. Asei, 1427–1430.Google Scholar
  7. 7.
    Pinto, S., J. Cabral, and T. Gomes. We-care : An IoT-based health care system for elderly people.Google Scholar
  8. 8.
    Luo, J., Y. Chen, K. Tang, and J. Luo. 2009. Remote monitoring information system and its applications based on the internet of things. International Conference on Future. BioMedical Information Engineering, 482–485.Google Scholar
  9. 9.
    Mukherjee, S., K. Dolui, and S.K. Datta. 2014. Patient health management system using e-health monitoring architecture, 400–405, 2014.Google Scholar
  10. 10.
    Berlian, M.H., et al. 2016. Design and implementation of smart environment monitoring and analytics in real-time system framework based on internet of underwater things and big data. In 2016 international electronics symposium, 403–408.Google Scholar
  11. 11.
    Ahmad, A., M.M. Rathore, A. Paul, and S. Rho. 2016. Defining human behaviors using big data analytics in social internet of things. In 2016 IEEE 30th International Conference on Advanced Information Networking and Applications, 1101–1107.Google Scholar
  12. 12.
    Idris, Muhammad, Shujaat Hussain, Mahmood Ahmad, Sungyoung Lee. 2015. Big data service engine (BISE): Integration of big data technologies for human centric wellness data. IEEE.Google Scholar
  13. 13.
    S. Saravanan. 2015. Design of large-scale content-based recommender system using hadoop MapReduce framework. In 2015 8th international conference on contemporary computing, IC3 2015, 302–307.Google Scholar
  14. 14.
    Sukanya, M.V., S. Sathyadevan, U.B. Unmesha Sreevani Benchmarking support vector machines implementation suing multiple techniques. In 2015 Advances in Intelligent Systems and Computing, vol. 320, 227–238.Google Scholar
  15. 15.
    Sharma, R., N. Kumar, N.B. Gowda, T. Srinivas. 2015. Probabilistic prediction based scheduling for delay sensitive traffic in internet of things. Procedia Computer Science 52 (1): 90–97.CrossRefGoogle Scholar
  16. 16.
    Sai, A., S. Salim, P.K. Binu, and R.C. Jisha. 2015. A hadoop based architechture using recursive expectation maximization algorithm for effective and foolproof traffic anomaly detection and reporting. International Journal of Applied Engineering Research 10 (55): 2101–2106.Google Scholar
  17. 17.
    Viswanathan, K., K. Mayilvahanan, R. Christy Pushpaleela. 2017. Performance comparison of SVM and C4.5 algorithms for heart disease in diabetics. International Journal of Control Theory and Applications.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science and ApplicationsAmrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita UniversityAmritapuriIndia

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