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Outlook on Security and Privacy in IoHT: Key Challenges and Future Vision
Department of Communications and Electronics, Faculty of Engineering, Minia University, Minia, Egypt.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Digitala tjänster och system. Faculty of Engineering, Al-Azhar University, Qena, Egypt.ORCID-id: 0000-0002-3800-0757
Department of Communications and Electronics, Faculty of Engineering, Minia University, Minia, Egypt; Department of Telecommunications Engineering, Egyptian Russian University, Cairo, Egypt.
Department of Communications and Electronics, Faculty of Engineering, Minia University, Minia, Egypt.
2020 (engelsk)Inngår i: Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) / [ed] Aboul-Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Diego Oliva, Fahmy M. Tolba, Springer, 2020, s. 721-730Konferansepaper, Publicerat paper (Annet vitenskapelig)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Springer, 2020. s. 721-730
Serie
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; Volume 1153
Emneord [en]
Security, Privacy, IoHT, Threats, Blockchain
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-78220DOI: 10.1007/978-3-030-44289-7_67Scopus ID: 2-s2.0-85082990491ISBN: 978-3-030-44288-0 (tryckt)ISBN: 978-3-030-44289-7 (digital)OAI: oai:DiVA.org:ltu-78220DiVA, id: diva2:1416978
Konferanse
International Conference on Artificial Intelligence and Computer Vision (AICV2020); April 8–9, 2020; Cairo, Egypt
Tilgjengelig fra: 2020-03-26 Laget: 2020-03-26 Sist oppdatert: 2025-10-22bibliografisk kontrollert

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