Optimized and secured data collection and recovery for IoT applications

  • Authors

    • M. Tanooj Kumar
    • T. Praveena
    • T. Lakshman
    • M. Sai Krishna
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10857
  • Basis Pursuit, Compressive sensing, Internet of Things (IoT), Measurement matrix.

  • Abstract

    This paper proposes a new compressive sensing based method for data collection and recovery related to IoT based systems. It performs data capturing, its compression and encryption at the same time, transmission, storage and its recovery. The measurement matrix, used in compressive sensing, is generated based on the user private key and is utilized for encrypting the captured data. Basis Pursuit is used for reconstruction of the data. The results shows that it is very suitable for the IoT based applications by considering data security, transmission cost and storage cost.

     

     

  • References

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  • How to Cite

    Kumar, M. T., Praveena, T., Lakshman, T., & Sai Krishna, M. (2018). Optimized and secured data collection and recovery for IoT applications. International Journal of Engineering & Technology, 7(2.7), 433-435. https://doi.org/10.14419/ijet.v7i2.7.10857

    Received date: 2018-04-01

    Accepted date: 2018-04-01

    Published date: 2018-03-18