Artificial Intelligence in Cyberspace
Between Danger and Innovation
DOI :
https://doi.org/10.26512/lstr.v17i1.53386Mots-clés :
Information Technology, Artificial intelligence, Cybercrimе, Cybersecurity, Innovation in CybersecurityRésumé
[Purpose] The purpose of the article is to examine the impact of artificial intelligence on cybersecurity and to explore both the risks and the opportunities it presents. The article examines the primary forms of criminal use of AI in cyberspace, as well as develops effective methodologies for its application in the process of investigation, prevention, and analysis of these socially dangerous actions.
[Methodology/approach/design] The authors employed an interdisciplinary approach combining methods from legal science, economics, and information technology in their work. Numerous scientific works on AI's characteristics, its role in digitization, and its use in criminal investigations have been noted. These studies offer suggestions, particularly for law enforcement agencies, financial institutions, and cybersecurity organizations. However, they are mainly theoretical and overlook new cyber threats and techniques used by cybercriminals with AI. In contrast, the authors analyzed illegal activity websites and forums, including cyberspace, using AI capabilities. They used cognitive methods to analyze how AI is used in cybercrimes, both as an auxiliary and primary tool. Content analysis methodology facilitated a systematic review of web content related to AI-enabled cybercrimes. The comparative-legal method compared AI-enabled cybercrimes to similar crimes without AI. Reviewing scientific articles, books, and conference proceedings helped understand AI, cybersecurity, and law enforcement. Case studies examined specific instances of AI in cybercrime, aiding in real-life prevention and investigation. The systematic method ensured a comprehensive examination of previous studies, identifying trends, challenges, and development prospects in AI and cybersecurity. By adopting this multifaceted and innovative approach, the authors were able to provide a more comprehensive and nuanced understanding of the emerging landscape of AI-assisted cybercrime. This research not only contributes to the academic discourse but also offers practical insights for law enforcement agencies, policymakers, and cybersecurity professionals working to combat these evolving threats.
[Findings] The utilization of AI in the realm of cybercrimes unveils new prospects for the criminals themselves, as well as offers opportunities for effective combat and investigation of these crimes through AI. It is emphasized that the application of AI in crime investigations aids in refining the processes of detection and analysis of cybercriminal activities, allowing for quicker identification of anomalies and response to them. However, despite AI's significant potential, its use necessitates a cautious approach and the development of ethical and legal standards. This is essential to avoid possible negative consequences and ensure balanced development in cybersecurity.
Téléchargements
Références
MEDIA. (2024, February 5). Inside the underground site where 'neural networks' churn out fake IDs. Available at: https://www.404media.co/inside-the-underground-site-where-ai-neural-networks-churns-out-fake-ids-onlyfake/
Abbas, N. N., Ahmed, T., Shah, S. H. U., Omar, M., & Park, H. W. (2019). Investigating the applications of artificial intelligence in cybersecurity. Scientometrics, 121, 1189-1211. https://doi.org/10.1007/s11192-019-03222-9
AI helps everyone, even fraudsters. How Artificial Intelligence Became Cybercriminals' New Weapon and Fueled $8 Billion in Scams. (2023). Forbes. Available at: https://forbes.ua/innovations/shi-dopomagae-vsimi-navit-shakhrayam-yak-shtuchniy-intelekt-stimulyuvav-aferi-na-8-mlrd-19092023-16102
AI-generated fake IDs claimed to pass crypto exchange KYC are selling for $15. (2024). Cointelegraph. Available at: Available at: https://cointelegraph.com/news/roblox-ai-translation-llm-metaverse-languages
Almazroi, A. A., & Ayub, N. (2023). Online Payment Fraud Detection Model Using Machine Learning Techniques. IEEE Access, 11, 137188-137203. https://doi.org/10.1109/ACCESS.2023.3339226
Artificial intelligence (AI) in cyber security market value worldwide from 2019 to 2027. (2022). Statista. Available at: Available at: https://www.statista.com/statistics/1291380/ai-in-cyber-security-market-size/
Artificial Intelligence for Lawyers Explained. (2023). Bloomberg law. Available at: https://pro.bloomberglaw.com/insights/technology/ai-in-legal-practice-explained/#whatAI
Artificial intelligence has begun to be used in Ukrainian hospitals. (2023). Information agency Union. Available at: https://www.unian.ua/health/v-ukrajinskih-likarnyah-pochali-vikoristovuvati-shtuchniy-intelekt-12390489.html
Automation and the future of work – understanding the numbers. (2018). Oxford Martin School. 13.04.2018. Available at: https://www.oxfordmartin.ox.ac.uk/blog/automation-and-the-future-of-work-understanding-the-numbers/
AVDetection. (2023). Extended Observability, Automated Detection, and Guided Response for the Entire Organization. Available at: https://avdetection.com/GravityZone-XDR.asp#:~:text=Bitdefender%20GravityZone%20XDR%20is%20a,endpoints%2C%20network%2C%20and%20cloud.
Azambuja, A. J. G., Plesker, C., Schützer, K., Anderl, R., Schleich, B., & Almeida, V. R. (2023). Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey. Electronics, 12(8), 1920. https://doi.org/10.3390/electronics12081920
BeInsure. (2024, January 2). Top 20 Cybercrime Predictions for 2024-2025. Available at: https://beinsure.com/cybercrime-predictions/
Bierbrauer, D. A., Kritzer, W., Chang, A., & Bastian, N. D. (2022). Cybersecurity Anomaly Detection in Adversarial Environments. Retrieved from https://ar5iv.labs.arxiv.org/html/2105.06742v1
Botpres. (2023, April 4). How does AI relate to natural language processing? Available at: https://botpress.com/blog/how-does-ai-relate-to-natural-language-processing
Businesswire. (2023, August 23). Deep Instinct Study Finds Significant Increase in Cybersecurity Attacks Fueled by Generative AI. Available at: https://www.businesswire.com/news/home/20230821068264/en/Deep-Instinct-Study-Finds-Significant-Increase-in-Cybersecurity-Attacks-Fueled-by-Generative-AI
Centre for Economic Policy Research. (2023, July 20). The impact of artificial intelligence on growth and employment. Available at: https://cepr.org/voxeu/columns/impact-artificial-intelligence-growth-and-employment
Chime®. (2023, October 23). Reporting frauds and scams explained. Available at: https://www.chime.com/blog/fraud-vs-scams-what-you-need-to-know/
CNBC. (2022, April 2). FBI: 'Financial sextortion' of teens is a 'rapidly escalating threat.' How parents can protect their kids. Available at: https://www.cnbc.com/2024/02/01/fbi-financial-sextortion-of-kids-is-escalating-what-parents-can-do.html
CrowdStrike. (2023, September 7). What is AI-Powered Behavioral Analysis in Cybersecurity. Available at: https://www.crowdstrike.com/cybersecurity-101/secops/ai-powered-behavioral-analysis/
Dig Watch – Geneva Internet Platform. (2023, October 28). US military to deploy thousands of AI-enabled autonomous vehicles by 2026. Available at: https://dig.watch/updates/us-military-to-deploy-thousands-of-ai-enabled-autonomous-vehicles-by-2026
Forbes. (2022, July 2). Onslaught of deepfakes: How the maker of Photoshop is fighting a problem of its own making. Available at: https://forbes.ua/inside/nashestvie-dipfeykov-kak-adobe-boretsya-s-problemoy-kotoruyu-sama-porodila-01072022-6937
FTC Consumer Response Center. (2022, January 22). New data shows FTC received 2.8 million fraud reports from consumers in 2021 [Press release]. Available at: https://www.ftc.gov/news-events/news/press-releases/2022/02/new-data-shows-ftc-received-28-million-fraud-reports-consumers-2021-0
Harel, Y., Ben Gal, I., & Elovici, Y. (2017). Cyber Security and the Role of Intelligent Systems in Addressing its Challenges. ACM Transactions on Intelligent Systems and Technology, 8(4), 1–12. https://doi.org/10.1145/3057729
IDC. (2023, October 26). IDC FutureScape: Artificial Intelligence Will Reshape the IT Industry and the Way Businesses Operate. Available at: https://www.idc.com/getdoc.jsp?containerId=prUS51335823
Khalel, S. I., & Khudher, S. M. (2022). Cyber-Attacks Risk Mitigation on Power System via Artificial Intelligence Technique. Paper presented at the 9th International Conference on Electrical and Electronics Engineering (ICEEE). https://doi.org/10.1109/ICEEE55327.2022.9772559
Kokotajlo, T., Long, D., Reith, M., & Dill, R. (2021). Artificial Intelligence Within Agile Software Development: Projected Impacts to Cyber Offense-Defense Balance. In 3rd European Conference on the Impact of Artificial Intelligence and Robotics (ECIAIR), pp. 78-81. DOI: 10.34190/EAIR.21.030
McKinsey & Company. (2017, October 28). Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages. Available at: https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-work-will-mean-for-jobs-skills-and-wages
Recurrent Ventures Inc. (2019, October 1). Former Google exec: AI will replace 40 percent of jobs in 15 years. Available at: https://futurism.com/the-byte/google-ai-jobs
Saiwa. (2023, December 11). Everything You Need to Know About Anomaly Detection in Cybersecurity. Available at: https://saiwa.ai/blog/anomaly-detection-in-cybersecurity/
Samtani, S., Chen, H., Kantarcioglu, M., & Thuraisingham, B. (2022). Explainable Artificial Intelligence for Cyber Threat Intelligence (XAI-CTI). IEEE Transactions on Dependable and Secure Computing, 19(4), 2149-2150. https://doi.org/10.1109/TDSC.2022.3168187
Source Media. (2018). The problem with—and solution for—identity verification. Available at: https://www.socure.com/blog/the-problem-with-and-solution-for-identity-verification
Sumari A. D. W., Ahmad A. S. (2018). Cognitive Artificial Intelligence: Concept and Applications for Humankind. Intelligent System. DOI: 10.5772/intechopen.72764
Truong, T. C., Zelinka, I., Plucar, J., Čandík, M., & Šulc, V. (2020). Artificial Intelligence and Cybersecurity: Past, Presence, and Future. In Artificial Intelligence and Evolutionary Computations in Engineering Systems (pp. 351-363). Advances in Intelligent Systems and Computing, Volume 1056. https://doi.org/10.1007/978-981-15-0199-9_30
Vahakainu, P., & Lehto, M. (2019). Artificial Intelligence in the Cyber Security Environment. In 14th International Conference on Cyber Warfare and Security (ICCWS), pp. 431-440. Available at: ResearchGate: https://www.researchgate.net/publication/338223306_Artificial_intelligence_in_the_cyber_security_environment_Artificial_intelligence_in_the_cyber_security_environment
WormGPT – The Generative AI Tool Cybercriminals Are Using to Launch Business Email Compromise Attacks. (2023). SlashNext. Available at: https://slashnext.com/blog/wormgpt-the-generative-ai-tool-cybercriminals-are-using-to-launch-business-email-compromise-attacks/
WormGPT Cybercrime Tool Heralds an Era of AI Malware vs. AI Defenses. (2023). Available at: Darkreading. https://www.darkreading.com/cyberattacks-data-breaches/wormgpt-cybercrime-tool-heralds-an-era-of-ai-malware-v-ai-defenses
Zhang, Z., Ning, H., Shi, F., Farha, F., Xu, Y., Xu, J., Zhang, F., & Choo, K.-K. R. (2022). Artificial intelligence in cyber security: research advances, challenges, and opportunities. Artificial Intelligence Review, 55, 1029–105. https://doi.org/10.1007/s10462-021-09976-0
Téléchargements
Publié-e
Comment citer
Numéro
Rubrique
Licence
(c) Tous droits réservés Law, State and Telecommunications Review 2025

Cette œuvre est sous licence Creative Commons Attribution 4.0 International.
By submitting this paper to the Law, State and Telecommunications Review,
I hereby declare that I agree to the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0).
