Artificial Intelligence (AI) based technology to improve the Network Security

Authors

  • Piyush Verma,Dr. Amol D. Potgantwar

Keywords:

Network security, Artificial intelligence, Machine learning, Deep learning, Anomaly detection, Intrusion prevention, Cybersecurity, 1000-sample dataset.

Abstract

The exponential growth of cyber threats, combined with the increasing complexity of networkinfrastructures, has created a pressing need for more intelligent, adaptive, and scalable securitysolutions. Traditional signature-based detection systems, while effective for known attacks,often fail to detect sophisticated zero-day exploits and advanced persistent threats. This thesis explores the development and evaluation

References

Achuthan, K., Ramanathan, S., Srinivas, S., & Raman, R. (2024). Advancing cybersecurity and privacy with artificial intelligence: current trends and future research directions. Frontiers in Big Data, 7, 1497535. https://www.frontiersin.org/journals/big data/articles/10.3389/fdata.2024.1497535/full

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Published

2024-01-18

How to Cite

Piyush Verma,Dr. Amol D. Potgantwar. (2024). Artificial Intelligence (AI) based technology to improve the Network Security. Journal of Computational Analysis and Applications (JoCAAA), 32(1), 1359–1373. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4876

Issue

Section

Articles