Emerging Trends in Cybercrime and Digital Fraud: A Critical Appraisal
Article Sidebar
Main Article Content
The accelerated digital transformation of economic, governmental, and social systems has fundamentally reshaped the global crime landscape, resulting in a marked escalation in cybercrime and digital fraud. Threat actors increasingly exploit emerging technologies such as artificial intelligence (AI), cloud computing, cryptocurrencies, and automation to scale attacks, evade detection, and monetize illicit activities.
This study critically appraises emerging trends in cybercrime and digital fraud through an empirical investigation grounded in socio-technical and governance perspectives. Using survey data from 312 cybersecurity professionals across three regions and triangulating the findings with authoritative global cybercrime reports, the study examines the relationships among technological enablers, organizational vulnerabilities, regulatory governance, and cybercrime impact outcomes. Reliability testing, correlation analysis, and multivariate regression modeling provide evidence that AI-enabled fraud, ransomware-as-a-service, identity-centric attacks, and cryptocurrency-related crimes significantly increase financial losses, operational disruption, and reputational damage. Regulatory governance is found to moderate, though not eliminate, these impacts.
The study contributes empirical validation to cybercrime scholarship, advances an integrated conceptual framework, and offers evidence-based recommendations for policymakers, regulators, and organizational risk managers.
Downloads
References
Bada, A., & Nurse, J. R. C. (2022). Cybersecurity governance and policy: A socio-technical perspective. Computers & Security, 117, 102677.
https://doi.org/10.1016/j.cose.2022.102677
Chainalysis. (2024). Crypto crime report 2024. Chainalysis Inc.
https://www.chainalysis.com/reports/crypto-crime-report-2024/
Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588–608.
https://doi.org/10.2307/2094589
Conti, M., Dehghantanha, A., Franke, K., & Watson, S. (2023). Internet of criminals: Ransomware ecosystems and cybercrime-as-a-service. IEEE Security & Privacy, 21(2), 32–40.
https://doi.org/10.1109/MSEC.2022.3224241
Cybersecurity Ventures. (2024). Cybercrime damage costs report.
https://cybersecurityventures.com/cybercrime-damage-costs/
Europol. (2024). Internet Organized Crime Threat Assessment (IOCTA). European Union Agency for Law Enforcement Cooperation.
https://www.europol.europa.eu/iocta-report
Interpol. (2023). Global financial fraud assessment. International Criminal Police Organization.
https://www.interpol.int/Crimes/Financial-crime
Kshetri, N. (2023). Cybercrime and cybersecurity in the age of artificial intelligence. Journal of Cyber Policy, 8(1), 1–17.
https://doi.org/10.1080/23738871.2023.2165451
Kumar, R., & Tripathi, R. (2023). AI-enabled cyber fraud: Threats, challenges, and countermeasures. Information Systems Frontiers, 25(4), 1201–1215.
https://doi.org/10.1007/s10796-022-10275-5
Leukfeldt, E. R., & Holt, T. J. (2023). Cybercrime networks and offender convergence. Crime, Law and Social Change, 79(2), 115–132.
https://doi.org/10.1007/s10611-022-10035-7
Möser, M., Narayanan, A., & Bonneau, J. (2023). Cryptocurrency anonymity and financial crime. Communications of the ACM, 66(7), 48–56.
https://doi.org/10.1145/3542253
UNODC. (2023). Comprehensive study on cybercrime. United Nations Office on Drugs and Crime.
https://www.unodc.org/cybercrime
Verizon. (2024). Data breach investigations report. Verizon Enterprise Solutions.
https://www.verizon.com/business/resources/reports/dbir/
Wall, D. S. (2022). Crime, security and information technology (3rd ed.). Routledge.
https://doi.org/10.4324/9781003088388
Zhang, Y., Li, H., & Chen, X. (2024). Deepfake-enabled fraud and detection challenges. IEEE Transactions on Information Forensics and Security, 19, 1450–1463. https://doi.org/10.1109/TIFS.2023.3338912
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.