TECHNOLOGY TO IMPROVE NETWORK SECURITY  ALGORITHMS

Piyush Verma ,Dr. Amol D. Potgantwar

TECHNOLOGY TO IMPROVE NETWORK SECURITY ALGORITHMS

Authors

Piyush Verma ,Dr. Amol D. Potgantwar

Keywords:

Network Security, Security Algorithms, Machine Learning, Intrusion Detection, Blockchain Security, Quantum Cryptography, Cyber Threats, Artificial Intelligence

Abstract

This research investigates emerging technologies and innovative approaches for improving networksecurity algorithms. The study examines how artificial intelligence, machine learning, blockchaintechnology, quantum-resistant cryptography, and behavioral analytics can enhance the effectiveness of security algorithms in detecting threats, preventing intrusions

References

Ahmed, M., Mahmood, A.N. and Hu, J. (2023) 'A survey of network anomaly detection techniques using machine learning', Journal of Network and Computer Applications, 60, pp. 19-31

Downloads

Published

2024-12-15

How to Cite

Piyush Verma ,Dr. Amol D. Potgantwar. (2024). TECHNOLOGY TO IMPROVE NETWORK SECURITY ALGORITHMS. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7770–7784. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4877