Review Topical Sections

Cyber security during the COVID-19 pandemic

  • Received: 08 April 2021 Accepted: 25 April 2021 Published: 26 April 2021
  • COVID-19 has changed the way cyber security is viewed by corporations in the global community. Not only did COVID-19 make many individuals work at home, sometimes on their own computers, and using their own routers, virus protection, etc., the lack of cyber security protection that individuals can provide against hacker attacks, especially for highly sensitive information can be limited. This paper introduces major technologies (such as 5G, blockchain, telemedicine, and big data) in fighting COVID-19, cyber-attacks, and cyber risks (due to peopleos actions as well as systems and technology failures) during the COVID-19 pandemic, cyber security for telework, cyber security of Internet of Things (IoT) and telemedicine, and cyber security based on blockchain technology. Blockchain helps mitigate the risks of COVID-19 and improves the privacy and security of health systems.

    Citation: Lidong Wang, Cheryl Ann Alexander. Cyber security during the COVID-19 pandemic[J]. AIMS Electronics and Electrical Engineering, 2021, 5(2): 146-157. doi: 10.3934/electreng.2021008

    Related Papers:

  • COVID-19 has changed the way cyber security is viewed by corporations in the global community. Not only did COVID-19 make many individuals work at home, sometimes on their own computers, and using their own routers, virus protection, etc., the lack of cyber security protection that individuals can provide against hacker attacks, especially for highly sensitive information can be limited. This paper introduces major technologies (such as 5G, blockchain, telemedicine, and big data) in fighting COVID-19, cyber-attacks, and cyber risks (due to peopleos actions as well as systems and technology failures) during the COVID-19 pandemic, cyber security for telework, cyber security of Internet of Things (IoT) and telemedicine, and cyber security based on blockchain technology. Blockchain helps mitigate the risks of COVID-19 and improves the privacy and security of health systems.



    加载中


    [1] Hoops K, Johnson T, Grossman ER, et al. (2020) Stay-at-home orders and firearms in the United States during the COVID-19 pandemic. Prev med 141: 106281. doi: 10.1016/j.ypmed.2020.106281
    [2] Marient M (2020) COVID-19, Human Security, and Global Leadership. Cadmus 4: 49-52.
    [3] Manalu EP, Muditomo A, Adriana D, et al. (2020) Role of Information Technology for Successful Responses to Covid-19 Pandemic. In 2020 International Conference on Information Management and Technology (ICIMTech), IEEE, 415-420.
    [4] Gaffar B, Alhumaid J, Alhareky M, et al. (2020) Dental Facilities During the New Corona Outbreak: A SWOT Analysis. Risk Manag Healthc P 13: 1343. doi: 10.2147/RMHP.S265998
    [5] Wijayanto H, Prabowo IA (2020) Cybersecurity Vulnerability Behavior Scale in College During the Covid-19 Pandemic. Jurnal Sisfokom (Sistem Informasi dan Komputer) 9: 395-399. doi: 10.32736/sisfokom.v9i3.1021
    [6] Khan NA, Brohi SN, Zaman N (2020) Ten deadly cyber security threats amid COVID-19 pandemic. TechRxiv Powered by IEEE: 394-399.
    [7] Khan NA, Brohi SN, Jhanjhi NZ (2020) UAV's applications, architecture, security issues and attack scenarios: a survey. InIntelligent Computing and Innovation on Data Science 2020, Springer, Singapore, 753-760.
    [8] Meghisan-Toma GM, Nicula VC (2020) ICT Security Measures for the Companies within European Union Member States-Perspectives in COVID-19 Context. In Proceedings of the International Conference on Business Excellence 14: 362-370.
    [9] Gupte R, Rege S, Hawa S, et al. (2020) Automated Shopping Cart Using RFID with a Collaborative Clustering Driven Recommendation System. In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE, 400-404.
    [10] Hossain MS, Muhammad G, Guizani N (2020) Explainable AI and mass surveillance system-based healthcare framework to combat COVID-I9 like pandemics. IEEE Network 34: 126-132. doi: 10.1109/MNET.011.2000458
    [11] Mastaneh Z, Mouseli A (2020). Technology and its Solutions in the Era of COVID-19 Crisis: A Review of Literature. Evidence Based Health Policy, Management and Economics 4: 138-149.
    [12] Tan H, Kim P, Chung I (2020) Practical Homomorphic Authentication in Cloud-Assisted VANETs with Blockchain-Based Healthcare Monitoring for Pandemic Control. Electronics 9: 1683. doi: 10.3390/electronics9101683
    [13] Khurshid A (2020) Applying blockchain technology to address the crisis of trust during the COVID-19 pandemic. JMIR medical informatics 8: e20477. doi: 10.2196/20477
    [14] Badawy SM, Radovic A (2020) Digital approaches to remote pediatric health care delivery during the COVID-19 pandemic: existing evidence and a call for further research. JMIR pediatrics and parenting 3: e20049. doi: 10.2196/20049
    [15] Sardi A, Rizzi A, Sorano E, et al. (2020) Cyber Risk in Health Facilities: A Systematic Literature Review. Sustainability 12: 7002. doi: 10.3390/su12177002
    [16] D'Arcy J, Adjerid I, Angst CM, et al. (2020) Too Good to Be True: Firm Social Performance and the Risk of Data Breach. Information Systems Research 31: 1200-1223. doi: 10.1287/isre.2020.0939
    [17] Zhang J, Wu M (2020) Blockchain Use in IoT for Privacy-Preserving Anti-Pandemic Home Quarantine. Electronics 9: 1746. doi: 10.3390/electronics9101746
    [18] Yallop AC, Aliasghar O (2020) No business as usual: a case for data ethics and data governance in the age of coronavirus. Online Inform Rev 44: 1217-1221. doi: 10.1108/OIR-06-2020-0257
    [19] Naidoo R (2020) A multi-level influence model of COVID-19 themed cybercrime. Eu J Inform Syst 29: 306-321. doi: 10.1080/0960085X.2020.1771222
    [20] Burrell DN (2020) Understanding the Talent Management Intricacies of Remote Cybersecurity Teams in Covid-19 Induced Telework Organizational Ecosystems. Land Forces Academy Review 25: 232-244. doi: 10.2478/raft-2020-0028
    [21] Rubí JN, Gondim PR (2020) Interoperable internet of medical things platform for e-health applications. Int J Distrib Sens N 16: 1550147719889591.
    [22] Kelly JT, Campbell KL, Gong E, et al. (2020) The Internet of Things: Impact and Implications for Health Care Delivery. J Med Internet Res 22: e20135. doi: 10.2196/20135
    [23] Akhbarifar S, Javadi HH, Rahmani AM, et al. (2020) A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment. Pers Ubiquit Comput 16: 1-17.
    [24] Hoffman DA (2020) Increasing access to care: telehealth during COVID-19. J Law Biosci 7: 1-15.
    [25] Kim DW, Choi JY, Han KH (2020) Risk management-based security evaluation model for telemedicine systems. BMC Med Inform Decis 20: 1-14. doi: 10.1186/s12911-019-1002-x
    [26] Camara C, Peris-Lopez P, Tapiador JE (2015) Security and privacy issues in implantable medical devices: A comprehensive survey. J Biomed Inform 55: 272-289. doi: 10.1016/j.jbi.2015.04.007
    [27] Bao SD, Poon CC, Zhang YT, et al. (2008) Using the timing information of heartbeats as an entity identifier to secure body sensor network. IEEE T Inf Technol B 12: 772-779. doi: 10.1109/TITB.2008.926434
    [28] Partala J, Keräneny N, Särestöniemi M, et al. (2013) Security threats against the transmission chain of a medical health monitoring system. In 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013), 243-248.
    [29] Snell R (2020) How Is COVID-19 Impacting Compliance Professionals across the Country? Journal of Health Care Compliance, 33-38.
    [30] Celesti A, Ruggeri A, Fazio M, et al. (2020) Blockchain-based healthcare workflow for tele-medical laboratory in federated hospital IoT clouds. Sensors 20: 2590. doi: 10.3390/s20092590
    [31] Ahir S, Telavane D, Thomas R (2020) The impact of Artificial Intelligence, Blockchain, Big Data and evolving technologies in Coronavirus Disease-2019 (COVID-19) curtailment. In 2020 International Conference on Smart Electronics and Communication (ICOSEC), IEEE, 113-120.
    [32] Radanliev P, De Roure D, Walton R, et al. (2020) COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalized medicine. EPMA Journal 30: 1-22.
    [33] van der Waal MB, Ribeiro CD, Ma M, et al. (2020) Blockchain-facilitated sharing to advance outbreak R & D. Science 368: 719-721. doi: 10.1126/science.aba1355
    [34] Radanliev P, De Roure D, Walton R, et al. (2020) COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalized medicine. EPMA Journal 30: 1-22.
    [35] Rimsan M, Mahmood AK, Umair M, et al. (2020) COVID-19: A Novel Framework to Globally Track Coronavirus Infected Patients using Blockchain. In 2020 International Conference on Computational Intelligence (ICCI), 70-74.
    [36] Sangeetha AS, Shunmugan S, Murugan G (2020) Blockchain for IoT Enabled Supply Chain Management-A Systematic Review. In 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 48-52.
    [37] Chen J, See KC (2020) Artificial Intelligence for COVID-19: Rapid Review. J Med Internet Res 22: e21476. doi: 10.2196/21476
    [38] Fusco A, Dicuonzo G, Dell'Atti V, et al. (2020) Blockchain in healthcare: Insights on COVID-19. Int J Env Res Pub He 17: 7167 doi: 10.3390/ijerph17197167
    [39] Mashamba-Thompson TP (2020) Crayton ED. Blockchain and artificial intelligence technology for novel coronavirus disease-19 self-testing. Diagnostics 10: 1-4.
    [40] Angeles R (2019) Blockchain-based healthcare: Three successful proof-of-Concept pilots worth considering. Journal of International Technology and Information Management 27: 47-83.
    [41] Evans M, Maglaras LA, He Y, et al. (2016) Human behaviour as an aspect of cybersecurity assurance. Secur Commun Netw 9: 4667-4679. doi: 10.1002/sec.1657
    [42] Council of the European Union (2020) Council Resolution on Encryption - Security through encryption and security despite encryption. White Paper, 13084/1/20 REV 1, Brussels, November 24, 2020.
    [43] Ahmed N, Michelin RA, Xue W, et al. (2020) A survey of covid-19 contact tracing apps. IEEE Access 8: 134577-134601. doi: 10.1109/ACCESS.2020.3010226
    [44] Slussarenko S, Pryde GJ (2019) Photonic quantum information processing: A concise review. Appl Phys Rev 6: 041303. doi: 10.1063/1.5115814
    [45] Degen CL, Reinhard F, Cappellaro P (2017) Quantum sensing. Rev Mod Phys 89: 035002. doi: 10.1103/RevModPhys.89.035002
    [46] Manzalini A (2020) Quantum communications in future networks and services. Quantum Reports 2: 221-232 doi: 10.3390/quantum2010014
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(9993) PDF downloads(1222) Cited by(15)

Article outline

Figures and Tables

Tables(9)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog