THREATS AND OPPORTUNITIES WITH AI-BASED CYBER SECURITY INTRUSION DETECTION: A REVIEW

Authors

  • Qobulov Doston Master student of Sharda University Uzbekistan +998 97 1570657 Author

Keywords:

AI, cybercrime, cyberattacks, machine learning, cybersecurity, security analytics, classification.

Abstract

Internet usage has increased quickly, particularly in the previous decade. With the widespread use of the internet, cybercrime is growing at an alarming rate in our daily lives. However, with the growth of artificial intelligence (AI), businesses are concentrating more on preventing cybercrime. AI is becoming an essential component of every business, affecting individuals worldwide. Cybercrime is one of the most prominent domains where AI has begun demonstrating valuable inputs. As a result, AI is being deployed as the first line of defense in most firms' systems. Because AI can detect new assaults faster than humans, it is the best alternative for constructing better protection against cybercrime. AI technologies also offer more significant potential in the development of such technology. This paper discusses recent cyber intrusions and how the AI-enabled industry is preparing to defend itself in the long run.

References

[1] Papp, D., Krausz, B., & Gyuranecz, F. (2022). The AI is now in session – The impact of digitalisation on courts. Cybersecurity and Law, 7(1), 272–296. https://doi.org/10.35467/cal/151833

[2] S. Lee, (2021). AI-based Cybersecurity: Benefits and Limitations. Robotics & AI Ethics, 6(1), 18-28.

[3] Kim, J., & Park, N. (2020). Blockchain-based data-preserving ai learning environment model for ai cybersecurity systems in IoT service environments. Applied Sciences, 10(14), 4718.

[4] Mengidis, N., Tsikrika, T., Vrochidis, S., & Kompatsiaris, I. (2019). Blockchain and AI for the next generation energy grids: cybersecurity challenges and opportunities. Information & Security, 43(1), 21-33.

[5] Furqan, M. (2021, April 25). The Most Common Types of Cyber Crime. Lifeboat Foundation Safeguarding Humanity. Retrieved July 24, 2022, from https://lifeboat.com/blog/2021/04/the-most- common-types-of-cyber-crime

Downloads

Published

2026-03-11

How to Cite

THREATS AND OPPORTUNITIES WITH AI-BASED CYBER SECURITY INTRUSION DETECTION: A REVIEW. (2026). Innovatsion Talabalar Axborotnomasi, 3(3), 22-26. https://innoworld.net/index.php/ita/article/view/2060