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Outlook on Security and Privacy in IoHT: Key Challenges and Future Vision

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) (AICV 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1153))

Abstract

The Internet of Things (IoT) security and privacy have received considerable research attention due to the IoT applicability in various domains. IoT systems have several applications, such as smart homes, smart cities, e-Health, industry, agriculture, and environmental monitoring. One of the most important applications is the Internet of Healthcare Things (IoHT) because it helps humans and patients obtain rapid diagnoses, remote monitoring, and home rehabilitation. IoHT security can be classified into four categories: applications, architecture, communication, and data security. This paper presents a short, but focused, review on IoHT security and privacy. It also explores recent security algorithms and protocols that are used to secure personal patient data, clinicians, and healthcare information. The future vision of IoHT challenges and countermeasures is given at the end of this study. Blockchain healthcare technology provides secure digital payment and privileged data access.

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Author information

Authors and Affiliations

  1. Department of Communications and Electronics, Faculty of Engineering, Minia University, Minia, Egypt

    Moustafa Mamdouh, Hesham F. A. Hamed & Ashraf A. M. Khalaf

  2. Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden

    Ali Ismail Awad

  3. Faculty of Engineering, Al-Azhar University, P.O. Box 83513, Qena, Egypt

    Ali Ismail Awad

  4. Department of Telecommunications Engineering, Egyptian Russian University, Cairo, Egypt

    Hesham F. A. Hamed

Authors
  1. Moustafa Mamdouh
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  2. Ali Ismail Awad
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  3. Hesham F. A. Hamed
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  4. Ashraf A. M. Khalaf
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Corresponding author

Correspondence to Ali Ismail Awad .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Faculty of Computers and Information, Giza, Egypt

    Aboul-Ella Hassanien

  2. Faculty of Computers and Information, Benha University, Banha, Egypt

    Ahmad Taher Azar

  3. Faculty of Computers and Information, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Guadajalara, Jalisco, Mexico

    Diego Oliva

  5. Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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Mamdouh, M., Awad, A.I., Hamed, H.F.A., Khalaf, A.A.M. (2020). Outlook on Security and Privacy in IoHT: Key Challenges and Future Vision. In: Hassanien, AE., Azar, A., Gaber, T., Oliva, D., Tolba, F. (eds) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). AICV 2020. Advances in Intelligent Systems and Computing, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-030-44289-7_67

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