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Secure Framework for Ambient Assisted Living System

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Computational Intelligence, Communications, and Business Analytics (CICBA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1031))

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Abstract

The development in the field of miniature sensors and wireless communication enables the successful deployment of Internet of Things (IoT) in the healthcare sector. The healthcare data generated by the medical sensors is very sensitive and enough to qualify as an instance of big data. In this paper, a secure framework is designed to assist the diabetic patients. The sensors’ data of each patient is used to generate context aware correlation rules by using map-reduce apriori algorithm. From these rules another labeled dataset is created to build a classifier for predicting the present state of the patient. After the successful deployment of this classifier on the service provider side, secure communication has been provided between the patient and the service provider using Key-Policy Attribute Based Encryption. Hence, providing an IoT based secure ambient assisted living system for diabetic patient may be helpful to the healthcare sector.

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Authors and Affiliations

  1. National Institute of Technology Raipur, Raipur, India

    K. Sowjanya & Mou Dasgupta

Authors
  1. K. Sowjanya
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  2. Mou Dasgupta
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Corresponding author

Correspondence to K. Sowjanya .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

  2. Department of Computer Science and Engineering, Assam University, Silchar, Assam, India

    Somnath Mukhopadhyay

  3. Department of Computer and Systems Sciences, Visva Bharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

  4. Department of Computer Science and Engineering, Kalyani Government Engineering College, Kalyani, West Bengal, India

    Kousik Dasgupta

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Sowjanya, K., Dasgupta, M. (2019). Secure Framework for Ambient Assisted Living System. In: Mandal, J., Mukhopadhyay, S., Dutta, P., Dasgupta, K. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2018. Communications in Computer and Information Science, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-13-8581-0_34

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  • DOI: https://doi.org/10.1007/978-981-13-8581-0_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-8580-3

  • Online ISBN: 978-981-13-8581-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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