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Security, Privacy and Trust Issues in Internet of Things and Machine Learning Based e-Healthcare

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Intelligent Interactive Multimedia Systems for e-Healthcare Applications

Abstract

The Internet of Things (IoT) or Internet Connected Things is the networking of physical devices that are both connected and smart. These devices are embedded with software, sensors, and network connectivity that enables them to collect and exchange data. The number of IoT enabled devices developed makes the application of IoT more interesting. The utilization of IoT-based gadgets is changing individuals’ ways of life, especially in exercises identified with healthcare. But using these devices in many applications creates several serious drawbacks or pitfalls. This work provides information about avoidance, identification, treatment, and control of overweight and heftiness, and different sicknesses or medical issues. IoT can be absolutely an insurgency in the field as significant on the worldwide scale as medical services. In this work, we present a survey of the cutting edge of exploration including the IoT in healthcare, especially concerning overweight, corpulence, and ongoing degenerative infections. IoT implementation relies on different security and privacy challenges. To make use of IoT in real-life application confidentiality, integrity, authentication, authorization, trust, verification, information storage, and management, availability challenges need to be addressed. This work also gives an outline of Security, Privacy, Trust issues in IoT-Machine Learning based healthcare systems.

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Author information

Authors and Affiliations

  1. School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, 600127, India

    Shruti Suhas Kute & Amit Kumar Tyagi

  2. Centre for Advanced Data Science, Vellore Institute of Technology, Chennai, Tamilnadu, 600127, India

    Amit Kumar Tyagi

  3. Department of Computer Science and Engineering, Jyothi Engineering College, Thrissur, Kerala, India

    S. U. Aswathy

Authors
  1. Shruti Suhas Kute
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  2. Amit Kumar Tyagi
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  3. S. U. Aswathy
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Editor information

Editors and Affiliations

  1. Vellore Institute of Technology, Chennai, Tamil Nadu, India

    Amit Kumar Tyagi

  2. Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  3. Department of Civil Engineering, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

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Kute, S.S., Tyagi, A.K., Aswathy, S.U. (2022). Security, Privacy and Trust Issues in Internet of Things and Machine Learning Based e-Healthcare. In: Tyagi, A.K., Abraham, A., Kaklauskas, A. (eds) Intelligent Interactive Multimedia Systems for e-Healthcare Applications. Springer, Singapore. https://doi.org/10.1007/978-981-16-6542-4_15

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