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Role of AI for Data Security and Privacy in 5G Healthcare Informatics

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6G Enabled Fog Computing in IoT

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Abstract

The encouraging prospects of 5G and Internet of things (IoT) have brought significant advancement in the Healthcare domain. Medical IoT primarily uses cloud computing approaches for real-time remote monitoring of patient’s health by employing cyborg-automated techniques such as tele-ultrasound, telestenting and cardiac catheterization. As a result, hospital services have become more convenient and cost-effective. However, the dispersed environment of the sensor-cloud based services poses an enormous threat to patient data privacy and security. Moreover, in a generation dictated by cyber-attacks, data breaches can provide full access to patients’ sensitive data such as personally identifiable information and medical history. The necessity to yield new measures for Data Security and Privacy in the epoch of 5G Healthcare Informatics stems from the shortcomings of the prevailing security methodologies like data encryption, third party auditing, data anonymization, etc. In order to address the above challenges and explore the most promising use cases of 5G in the healthcare sector, we discuss the role of Artificial Intelligence (AI), Machine Learning (ML)/Deep Learning (DL) techniques and Blockchain applications that coalesce in overcoming existing hurdles.

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Author information

Authors and Affiliations

  1. Department of Mathematics, St. Xavier’s College, Ahmedabad, Gujarat, India

    Ananya Sheth

  2. Department of Computer Science & Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Jitendra Bhatia

  3. CTO, Softvan Pvt. Ltd., Ahmedabad, Gujarat, India

    Harshal Trivedi

  4. Department of Computer Science and Engineering, SoT, PDEU, Raysan, Gujarat, India

    Rutvij Jhaveri

Authors
  1. Ananya Sheth
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  2. Jitendra Bhatia
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  3. Harshal Trivedi
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  4. Rutvij Jhaveri
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Corresponding author

Correspondence to Jitendra Bhatia .

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Editors and Affiliations

  1. Department of Information Technology, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Mohit Kumar

  2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

    Sukhpal Singh Gill

  3. Department of Information Technology, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Jitendra Kumar Samriya

  4. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

    Steve Uhlig

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Sheth, A., Bhatia, J., Trivedi, H., Jhaveri, R. (2023). Role of AI for Data Security and Privacy in 5G Healthcare Informatics. In: Kumar, M., Gill, S.S., Samriya, J.K., Uhlig, S. (eds) 6G Enabled Fog Computing in IoT. Springer, Cham. https://doi.org/10.1007/978-3-031-30101-8_2

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  • DOI: https://doi.org/10.1007/978-3-031-30101-8_2

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  • Online ISBN: 978-3-031-30101-8

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