Cyber security in the age of COVID-19: a timeline and analysis of cyber-crime and cyber-attacks during the pandemic
Open accessAbstract
The COVID-19 pandemic was a remarkable, unprecedented event which altered the lives of billions of citizens globally resulting in what became commonly referred to as the new-normal in terms of societal norms and the way we live and work. Aside from the extraordinary impact on society and business as a whole, the pandemic generated a set of unique cyber-crime related circumstances which also affected society and business. The increased anxiety caused by the pandemic heightened the likelihood of cyber-attacks succeeding corresponding with an increase in the number and range of cyber-attacks. This paper analyses the COVID-19 pandemic from a cyber-crime perspective and highlights the range of cyber-attacks experienced globally during the pandemic. Cyber-attacks are analysed and considered within the context of key global events to reveal the modus-operandi of cyber-attack campaigns. The analysis shows how following what appeared to be large gaps between the initial outbreak of the pandemic in China and the first COVID-19 related cyber-attack, attacks steadily became much more prevalent to the point that on some days, three or four unique cyber-attacks were being reported. The analysis proceeds to utilise the UK as a case study to demonstrate how cyber-criminals leveraged salient events and governmental announcements to carefully craft and execute cyber-crime campaigns.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Romance scams have become a growing problem, exacerbated by the COVID-19 pandemic, alongside other cybercrimes.
“Romance scams have become a growing problem, exacerbated by the COVID-19 pandemic, alongside other cybercrimes (Kemp et al., 2021;Lallie et al., 2021).”
From Tainted Love: a Systematic Literature Review of Online Romance Scam Research (2023) · cites this paper as Lallie et al., 2021
The Literature review (page not provided) reports that scams and malware attacks rose during the pandemic, supporting the claim about other cybercrimes. It does not identify romance scams or say that the pandemic exacerbated them specifically; searches for “romance” and “romance scams” found no such passage. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
WHO Coronavirus Disease (COVID-19) Dashboard
(2020) · Bangladesh Physiotherapy Journal · doi:10.46945/bpj.10.1.03.01 · Cited by 5,545 · see citing works
Coronavirus disease (COVID-19) pandemic.
Rampal, L., & Liew, B. S. (2020) · PubMed · Cited by 2,116 · see citing works
Privacy in the age of medical big data
Price, W. N., & Cohen, I. G. (2019) · Nature Medicine · doi:10.1038/s41591-018-0272-7 · Cited by 1,522 · see citing works
The Coronavirus Disease 2019 (COVID-19) Pandemic
Baloch, S., Baloch, M. A., Zheng, T., & Pei, X. (2020) · The Tohoku Journal of Experimental Medicine · doi:10.1620/tjem.250.271 · Cited by 1,473 · see citing works
Other People's Money. A Study in the Social Psychology of Embezzlement
Jacobs, J. A., & Cressey, D. R. (1954) · The Journal of Criminal Law Criminology and Police Science · doi:10.2307/1140029 · Cited by 1,024 · see citing works
Yar, M. (2005) · European Journal of Criminology · doi:10.1177/147737080556056 · Cited by 515 · see citing works
Agrafiotis, I., Nurse, J. R. C., Goldsmith, M., Creese, S., & Upton, D. (2018) · Journal of Cybersecurity · doi:10.1093/cybsec/tyy006 · Cited by 314 · see citing works
Self-citationA Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems
Hindy, H., Brosset, D., Bayne, E., Seeam, A. K., Tachtatzis, C., Atkinson, R. C., & Bellekens, X. (2020) · IEEE Access · doi:10.1109/access.2020.3000179 · Cited by 283 · see citing works
Self-citationAn Extended Model of Cybercrime Investigations
Ciardhuáin, S. Ó. (2004) · International journal of digital evidence · Cited by 244 · see citing works
Stajano, F., & Wilson, P. (2011) · Communications of the ACM · doi:10.1145/1897852.1897872 · Cited by 214 · see citing works
The Oxford Handbook of Cyberpsychology
(2018) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198812746.001.0001 · Cited by 201 · see citing works
A Taxonomy of Operational Cyber Security Risks
Cebula, J., & Young, L. R. (2010) · Cited by 122 · see citing works
Baiting the hook: factors impacting susceptibility to phishing attacks
Iuga, C., Nurse, J. R. C., & Erola, A. (2016) · Human-centric Computing and Information Sciences · doi:10.1186/s13673-016-0065-2 · Cited by 119 · see citing works
Self-citationLi, H., Lin, C.-Y., & Osborne, M. (2012) · Cited by 101 · see citing works
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems
Hindy, H., Brosset, D., Bayne, E., et al. (2018) · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · doi:10.48550/arxiv.1806.03517 · Cited by 98 · see citing works
Cybercrime and You: How Criminals Attack and the Human Factors That They Seek to Exploit
Nurse, J. R. C. (2018) · doi:10.1093/oxfordhb/9780198812746.013.35 · Cited by 94 · see citing works
Self-citationA Cyber Attack Modeling and Impact Assessment framework
Kotenko, I. V., & Chechulin, A. A. (2013) · International Conference on Cyber Conflict · Cited by 80 · see citing works
Measuring the Changing Cost of Cybercrime
Anderson, R., Barton, C., Boehme, R., et al. (2019) · Edinburgh Research Explorer (University of Edinburgh) · doi:10.17863/cam.41598 · Cited by 76 · see citing works
Bayesian Network Models in Cyber Security: A Systematic Review
Chockalingam, S., Pieters, W., Teixeira, A. M. H., & van Gelder, P. H. A. J. M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-70290-2_7 · Cited by 66 · see citing works
Hiscox Cyber Readiness Report 2019
(2019) · Network Security · doi:10.1016/s1353-4858(19)30057-1 · Cited by 60 · see citing works
A Systematic Approach Toward Description and Classification of Cybercrime Incidents
Tsakalidis, G., & Vergidis, K. (2019) · IEEE Transactions on Systems, Man & Cybernetics. Systems · doi:10.1109/tsmc.2017.2700495 · Cited by 51 · see citing works
Extracting narrative timelines as temporal dependency structures
Kolomiyets, O., Bethard, S. J., & Moens, M. (2012) · Lirias · Cited by 47 · see citing works
Balancing Personal Privacy and Public Safety During COVID-19: The Case of South Korea
Ahn, N. Y., Park, J. E., Lee, D. H., & Hong, P. C. (2020) · IEEE Access · doi:10.1109/access.2020.3025971 · Cited by 45 · see citing works
Pervasive eHealth services a security and privacy risk awareness survey
Bellekens, X., Hamilton, A. W., Seeam, P., et al. (2016) · International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA) · doi:10.1109/cybersa.2016.7503293 · Cited by 43 · see citing works
Self-citation2016 IST-Africa Week Conference
(2016) · doi:10.1109/ist-africa38436.2016 · Cited by 40 · see citing works
Shinder, D. L., & Cross, M. (2002) · CERN Document Server (European Organization for Nuclear Research) · Cited by 38 · see citing works
Jones, R. D., Collier, B., Horgan, S., et al. (2020) · Cited by 30 · see citing works
A taxonomy of technical attribution techniques for cyber attacks
Nicholson, A., Watson, T., Norris, P., Duffy, A., & Isbell, R. (2012) · DMU Open Research Archive (De Montfort University) · Cited by 24 · see citing works
A Study on Situational Awareness Security and Privacy of Wearable Health Monitoring Devices
Bellekens, X., Nieradzinska, K., Bellekens, A., et al. (2016) · International Journal on Cyber Situational Awareness · doi:10.22619/ijcsa.2016.100104 · Cited by 19 · see citing works
Self-citationCyber-Attack Hits U.S. Health Agency Amid Covid-19 Outbreak
Stein, S., & Jacobs, J. (2020) · Cited by 18 · see citing works
Classification of cyber attacks in South Africa
van Heerden, R., Soms, S. V., & Mooi, R. (2016) · IST-Africa Week Conference · doi:10.1109/istafrica.2016.7530663 · Cited by 12 · see citing works
Targeted cyber attacks: how to mitigate the increasing risk
Bunker, G. (2020) · Network Security · doi:10.1016/s1353-4858(20)30010-6 · Cited by 11 · see citing works
From Cyber-Security Deception to Manipulation and Gratification Through Gamification
Bellekens, X., Jayasekara, G., Hindy, H., Bureš, M., Brosset, D., Tachtatzis, C., & Atkinson, R. C. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-22351-9_7 · Cited by 7 · see citing works
Self-citationBalancing Personal Privacy and Public Safety in COVID-19: Case of Korea and France
Ahn, N. Y., Park, J. E., Lee, D. H., et al. (2020) · Europe PMC (PubMed Central) · Cited by 6 · see citing works
Horton, N. J., & DeSimone, A. (2018) · Cited by 3 · see citing works
How to design browser security and privacy alerts
Shepherd, L. A., & Renaud, K. (2018) · Abertay Research Portal (Abertay University) · doi:10.48550/arxiv.1806.05426 · Cited by 3 · see citing works
Self-citationSecurity for Enterprise Telework, Remote Access, and Bring Your Own Device (BYOD) Solutions
Scarfone, K. A., Greene, J., & Souppaya, M. (2020) · Cited by 3 · see citing works
More attacks on Covid-19 vaccine suppliers and supply chain
(2020) · Computer Fraud & Security · doi:10.1016/s1361-3723(20)30122-6 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- AstraZeneca, 2020. AstraZeneca Advances Response to Global COVID-19 Challenge as it Receives First Commitments for Oxford’s Potential New Vaccine. https://www.astrazeneca.com/media-centre/press-releases/2020/astrazeneca-advances-response-to-global-covid-19-challenge-as-it-receives-first-commitments-for-oxfords-potential-new-vaccine.html (Accessed on 20 June 2020).
- Kaspersky, 2016. Research Reveals Hacker Tactics: Cybercriminals Use DDoS as Smokescreen for Other Attacks on Business. https://www.kaspersky.com/about/press-releases/2016_research-reveals-hacker-tactics-cybercriminals-use-ddos-as-smokescreen-for-other-attacks-on-business (Accessed 15 June 2020).
Cited by
Sorted by citations
Pandya, A., & Lodha, P. (2021) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2021.684137 · Cited by 371 · see citing works
A Framework for Malicious Traffic Detection in IoT Healthcare Environment
Hussain, F., Abbas, S. G., Shah, G. A., Pires, I. M., Fayyaz, U. U., Shahzad, F., Garcia, N. M., & Zdravevski, E. (2021) · Sensors · doi:10.3390/s21093025 · Cited by 230 · see citing works
Artificial intelligence in medicine and the disclosure of risks
Kiener, M. (2021) · AI & SOCIETY · doi:10.1007/s00146-020-01085-w · Cited by 97 · see citing works
Tainted Love: a Systematic Literature Review of Online Romance Scam Research
Bilz, A., Shepherd, L. A., & Johnson, G. I. (2023) · Interacting with Computers · doi:10.1093/iwc/iwad048 · Cited by 65 · see citing works
Self-citationOnline Grooming: Factores de Riesgo y Modus Operandi a Partir de un Análisis de Sentencias Españolas
Riberas-Gutiérrez, M., Reneses, M., Gómez-Dorado, A., Serranos-Minguela, L., & Bueno-Guerra, N. (2024) · Anuario de Psicología Jurídica · doi:10.5093/apj2023a9 · Cited by 9 · see citing works
- Authors
- Lallie, H. S., Shepherd, L. A., Nurse, J. R. C., Erola, A., Epiphaniou, G., Maple, C., & Bellekens, X.
- Affiliations
- University of Warwick (GB)
- Abertay University (GB)
- University of Kent (GB)
- University of Oxford (GB)
- University of Strathclyde (GB)
- Corresponding author
- Lallie, Harjinder Singh
- ORCID
- Venue
- Computers & Security
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 105
- Pages
- 102248
- ISSN
- 0167-4048 (ISSN-L)
- PMC
- PMC9755115
- OpenAlex
- W3036035276
- Cited by
- 671
- References
- 40
- Citations by year
- 2026: 35 · 2025: 67 · 2024: 119 · 2023: 147 · 2022: 168 · 2021: 110 · 2020: 22 · 2019: 2 · 2013: 1
- FWCI
- 122.99
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Computers & Security (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Kent Academic Repository (University of Kent) (acceptedVersion)
- Abertay Research Portal (Abertay University) (acceptedVersion, cc-by-nc-nd)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- Florida International University Digital Commons (Florida International University) (submittedVersion)
- Warwick Research Archive Portal (University of Warwick) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Engineering and Physical Sciences Research Council
- International University of Korea
- Topics
- Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
- Social Sciences › Political Science and International Relations › Cybersecurity and Cyber Warfare Studies
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Keywords
- COVID-19 pandemic, cybercrime, cyberattacks, modus operandi, cybercriminals, government announcements
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review