Articles | Open Access | DOI: https://doi.org/10.37547/ajast/Volume03Issue10-08

AI FOR INFORMATION SECURITY AND CYBERSPACE

Nurmukhammad Y. Samijonov , Independent Researcher, Uzbekistan

Abstract

Taking into account the fact that artificial intelligence can expand the capabilities of humanity, accelerate the speed of data analysis several times, and help people reach correct and accurate conclusions in the decision-making process, it can improve data security or, on the contrary, target propaganda and fake news. Collecting information, taking very little responsibility, and taking into account the fact that social networks can expand the speed and extent of dissemination of information simultaneously in two opposite directions, AI can both strengthen cyber security or create new types of threats to it.

Keywords

“Information technology security”, “electronic information security”, fake news

References

Buranov, S. (2023, May). GLOBAL SECURITY CHALLENGES: INFORMATION SECURITY AND ARTIFICIAL INTELLIGENCE. In International Scientific and Current Research Conferences (pp. 155-159)

Christou, G., & Lee, J. S. (2022). EU-South Korea Cooperation on Cybersecurity, Data Protection and Emerging Technologies. Cybersecurity Policy in the EU and South Korea from Consultation to Action: Theoretical and Comparative Perspectives, 41-66.

Horowitz, M. C., Kahn, L., & Mahoney, C. (2020). The future of military applications of artificial intelligence: A role for confidence-building measures?. Orbis, 64(4), 528-543.

Kalkenings, M., & Mandl, T. (2022, July). University of Hildesheim at SemEval-2022 task 5: combining deep text and image models for multimedia misogyny detection. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (pp. 718-723).

Kamruzzaman, M. M. (2022). Impact of social media on geopolitics and economic growth: Mitigating the risks by developing artificial intelligence and cognitive computing tools. Computational Intelligence and Neuroscience, 2022.

Mohammed, I. A. (2020). Artificial intelligence for cybersecurity: A systematic mapping of literature. Artif. Intell, 7(9), 1-5

Parkhi, O., Vedaldi, A., & Zisserman, A. (2015). Deep face recognition. In BMVC 2015-Proceedings of the British Machine Vision Conference 2015. British Machine Vision Association.

Polonski, V. (2017, August 9). How artificial intelligence silently took over democracy. World Economic Forum. Retrieved from https://www.weforum.org/agenda/2017/08/artificial-intelligence-can-save-democracy-unless-it-destroys-it-first/

Pomerleau, P. L., & Lowery, D. L. (2020). Countering Cyber Threats to Financial Institutions. In A Private and Public Partnership Approach to Critical Infrastructure Protection. Springer.

Radulov, N. (2019). Artificial intelligence and security. Security 4.0. Security & Future, 3(1), 3-5.

Samartsev, D. ,Dikson, V(2019, July 9). 5G, AI and biometrics to define cybersecurity. Technical review Middle East. Retrieved from https://www.technicalreviewmiddleeast.com/it/information-security/5g-ai-and-biometrics-to-define-cybersecurity-strategy

Samijonov, N. Y. (2023, October). AI, ROBOTIZATION, AND DEHUMANIZATION: OPPORTUNITIES AND THREATS TO THE WORKING CLASS. In International Scientific and Current Research Conferences (pp. 184-187).

Sarker, I. H., Furhad, M. H., & Nowrozy, R. (2021). Ai-driven cybersecurity: an overview, security intelligence modeling and research directions. SN Computer Science, 2, 1-18.

Taddeo, M., McCutcheon, T., & Floridi, L. (2019). Trusting artificial intelligence in cybersecurity is a double-edged sword. Nature Machine Intelligence, 1(12), 557-560.

Wirkuttis, N., & Klein, H. (2017). Artificial intelligence in cybersecurity. Cyber, Intelligence, and Security, 1(1), 103-119.

Article Statistics

Copyright License

Download Citations

How to Cite

Nurmukhammad Y. Samijonov. (2023). AI FOR INFORMATION SECURITY AND CYBERSPACE. American Journal of Applied Science and Technology, 3(10), 39–43. https://doi.org/10.37547/ajast/Volume03Issue10-08