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


