Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives

Mohamed Amine Ferrag; Lei Shu; Kim-Kwang Raymond Choo

doi:10.1109/JAS.2021.1004087

Volume 8 Issue 9

Sep. 2021

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

CiteScore: 23.5, Top 2% (Q1)
Google Scholar h5-index: 77， TOP 5

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M. A. Ferrag, L. Shu, and K. R. Choo, "Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1477-1499, Sep. 2021. doi: 10.1109/JAS.2021.1004087

Citation:

M. A. Ferrag, L. Shu, and K. R. Choo, "Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives," IEEE/CAA J. Autom. Sinica, vol. 8, no. 9, pp. 1477-1499, Sep. 2021. doi: 10.1109/JAS.2021.1004087

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Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives

doi: 10.1109/JAS.2021.1004087

1.
Department of Computer Science, Guelma University, B. P. 401, 24000, Algeria
2.
College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210095, China
3.
School of Engineering, University of Lincoln, Lincoln LN67TS, UK
4.
Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX 78249-0631 USA

Funds: This work was supported in part by the Research Start-Up Fund for Talent Researcher of Nanjing Agricultural University (77H0603). The work of K.-K. R. Choo was supported only by the Cloud Technology Endowed Professorship

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Author Bio:
Mohamed Amine Ferrag received the bachelor degree (June, 2008), master degree (June, 2010), Ph.D. degree (June, 2014), HDR degree (April, 2019) from Badji Mokhtar-Annaba University, Algeria, all in computer science. Since October 2014, he is a Senior Lecturer in the Department of Computer Science, Guelma University, Algeria. Since July 2019, he is a Visiting Senior Researcher, NAU-Lincoln Joint Research Center of Intelligent Engineering, Nanjing Agricultural University. His research interests include wireless network security, network coding security, and applied cryptography. He is featured in Stanford University’s list of the world’s Top 2% scientists for the year 2019. He has been conducting several research projects with international collaborations on these topics. He has published more than 80 papers in international journals and conferences in the above areas. Some of his research findings are published in top-cited journals, such as the IEEE Communications Surveys and Tutorials, IEEE Internet of Things Journal, IEEE Transactions on Engineering Management, IEEE Access, Journal of Information Security and Applications (Elsevier), Transactions on Emerging Telecommunications Technologies (Wiley), Telecommunication Systems (Springer), International Journal of Communication Systems (Wiley), Sustainable Cities and Society (Elsevier), and Journal of Network and Computer Applications (Elsevier). He is currently serving on various editorial positions such as Editorial Board Member in Journals (Indexed SCI & Scopus) such as, IET Networks, International Journal of Internet Technology and Secured Transactions (Inderscience Publishers), Security and Communication Networks (Wiley), and MDPI Journal of Sensor and Actuator Networks. His current H-index is 20, i10-index is 29, and 1866 citations in Google Scholar Citation

Lei Shu (M’07–SM’15) received the B.S. degree in computer science from South Central University for Nationalities in 2002, and the M.S. degree in computer engineering from Kyung Hee University, South Korea, in 2005, and the Ph.D. degree from the Digital Enterprise Research Institute, National University of Ireland, Ireland, in 2010. From 2010 to 2012, he was a Specially Assigned Researcher with the Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University, Japan. He is currently a Distinguished Professor with Nanjing Agricultural University, and a Lincoln Professor with the University of Lincoln, U.K. He is also the Director of the NAU-Lincoln Joint Research Center of Intelligent Engineering. He has published over 400 papers in related conferences, journals, and books in the areas of sensor networks and Internet of Things. His current H-index is 62 and i10-index is 244 in Google Scholar Citation. His current research interests include wireless sensor networks and Internet of Things. He has also served as a TPC Member for more than 160 conferences, such as ICDCS, DCOSS, MASS, ICC, GLOBECOM, ICCCN, WCNC, and ISCC. He was a Recipient of the 2014 Top Level Talents in Sailing Plan of Guangdong Province, China, the 2015 Outstanding Young Professor of Guangdong Province, and the GLOBECOM 2010, ICC 2013, ComManTel 2014, WICON 2016, SigTelCom 2017 Best Paper Awards, the 2017 and 2018 IEEE Systems Journal Best Paper Awards, the 2017 Journal of Network and Computer Applications Best Research Paper Award, and the Outstanding Associate Editor Award of 2017, and the 2018 IEEE ACCESS. He has also served over 60 various Co-Chair for international conferences/workshops, such as IWCMC, ICC, ISCC, ICNC, Chinacom, especially the Symposium Co-Chair for IWCMC 2012, ICC 2012, the General Co-Chair for Chinacom 2014, Qshine 2015, Collaboratecom 2017, DependSys 2018, and SCI 2019, the TPC Chair for InisCom 2015, NCCA 2015, WICON 2016, NCCA 2016, Chinacom 2017, InisCom 2017, WMNC 2017, and NCCA 2018

Kim-Kwang Raymond Choo (SM’15) received the Ph.D. degree in information security from the Queensland University of Technology, Australia, in 2006. He currently holds the Cloud Technology Endowed Professorship with The University of Texas at San Antonio, USA. He is the Founding Chair of IEEE Technology and Engineering Management Society’s Technical Committee on Blockchain and Distributed Ledger Technologies, an ACM Distinguished Speaker and IEEE Computer Society Distinguished Visitor (2021–2023), and included in Web of Science’s Highly Cited Researcher in the field of Cross-Field - 2020. He is named the Cybersecurity Educator of the Year - APAC (Cybersecurity Excellence Awards are produced in cooperation with the Information Security Community on LinkedIn) in 2016, and in 2015 he and his team won the Digital Forensics Research Challenge organized by Germany’s University of Erlangen-Nuremberg. He is the recipient of the 2019 IEEE Technical Committee on Scalable Computing Award for Excellence in Scalable Computing (Middle Career Researcher), the 2018 UTSA College of Business Col. Jean Piccione and Lt. Col. Philip Piccione Endowed Research Award for Tenured Faculty, the Outstanding Associate Editor of 2018 for IEEE Access, the British Computer Society’s 2019 Wilkes Award Runner-up, the 2014 Highly Commended Award by the Australia New Zealand Policing Advisory Agency, the Fulbright Scholarship in 2009, the 2008 Australia Day Achievement Medallion, and the British Computer Society’s Wilkes Award in 2008. He has also received best paper awards from the IEEE Systems Journal in 2021, IEEE Consumer Electronics Magazine for 2020, EURASIP Journal on Wireless Communications and Networking in 2019, IEEE TrustCom 2018, and ESORICS 2015; the Korea Information Processing Society’s Journal of Information Processing Systems (JIPS) Outstanding Research Award (Most-cited Paper) for 2020 and Survey Paper Award (Gold) in 2019; the IEEE Blockchain 2019 Outstanding Paper Award; and Best Student Paper Awards from Inscrypt 2019 and ACISP 2005
Corresponding author: Lei Shu, e-mail: lei.shu@ieee.org
Received Date: 2021-03-08
Revised Date: 2021-04-09
Accepted Date: 2021-05-07

Available Online: 2021-05-25

Abstract

Abstract

The speed and pace of the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; also referred to as novel Coronavirus 2019 and COVID-19) have resulted in a global pandemic, with significant health, financial, political, and other implications. There have been various attempts to manage COVID-19 and other pandemics using technologies such as Internet of Things (IoT) and 5G/6G communications. However, we also need to ensure that IoT devices used to facilitate COVID-19 monitoring and treatment (e.g., medical IoT devices) are secured, as the compromise of such devices can have significant consequences (e.g., life-threatening risks to COVID-19 patients). Hence, in this paper we comprehensively survey existing IoT-related solutions, potential security and privacy risks and their requirements. For example, we classify existing security and privacy solutions into five categories, namely: authentication and access control solutions, key management and cryptography solutions, blockchain-based solutions, intrusion detection systems, and privacy-preserving solutions. In each category, we identify the associated challenges. We also identify a number of recommendations to inform future research.
- Blockchain,
- COVID-19,
- healthcare,
- privacy,
- SARS-CoV-2,
- security

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References(121)

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IoT-based COVID-19 and pandemic preventative solutions (e.g., vaccine supply chain)
Blockchain-based healthcare and/or pandemic monitoring solutions
Machine learning-based approaches to detecting and preventing outbreaks

Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives

doi: 10.1109/JAS.2021.1004087

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