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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July 2023, Volume 38 Issue 3
    Article

    PRIORITIZED COMPRESSED DATA ACQUISITION FRAME WORK FOR SECURING THE DATA INTEGRITY IN THE MEDICAL WIRELESS SENSOR NETWORKS
    1B.Naresh Kumar, 2Malladi Srinivas
    Journal of Data Acquisition and Processing, 2023, 38 (3): 5575-5586 . 

    Abstract

    MWSNs are essential in enhancing healthcare systems by delivering efficient and effective solutions. These allow elderly and disabled individuals to live independently while ensuring their well-being and safety. In hospitals, the data collected by the sensors deployed in these networks can be analyzed in real time. In order to ensure the safety and confidentiality of the data collected by MWSNs, it is important that the information is properly aggregated and transmitted to the appropriate central servers. This process should be performed with the utmost security to avoid unauthorized access and manipulation of the data. This paper proposes a prioritized compressed data acquisition framework that is designed to increase the efficacy of gathering various health information types. The framework utilizes a sampling technique known as compressed sensing to reduce the transmission overhead and power consumption. Data is then encrypted and its integrity is protected through a cryptographic hash protocol. The priority of the information is then considered and the transmission is performed according to the usual method. The security aspects of the proposed framework are analyzed to ensure that the data collected by the MWSNs is protected. In addition, we performed an experiment on the system's performance. The findings of the study indicate that the proposed system can help improve the quality of healthcare by allowing more accurate and timely information.

    Keyword

    Data security, MWSNs, Compression, Encryption


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ISSN 1004-9037

         

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