Enhancing Cybersecurity Protocols with Computational Intelligence

Authors

  • Sam Anderson
  • Dana Parker
  • Kai Lee

Keywords:

Cybersecurity, Computational Intelligence, AI, Machine Learning, Security

Abstract

This research delves into the application of computational intelligence techniques to enhance cybersecurity protocols. By employing advanced algorithms and data analysis methods, researchers aim to bolster the security of digital systems against emerging threats. The paper provides insights into the integration of machine learning and artificial intelligence in cybersecurity, offering novel strategies to detect and mitigate cyber attacks. The findings highlight the effectiveness of computational intelligence in creating robust security measures, essential for protecting sensitive information.

Author Biographies

Sam Anderson

PhD
Delft University of Technology
Mekelweg 2, 2628 CD Delft, Netherlands

Dana Parker

PhD
National University of Singapore
21 Lower Kent Ridge Rd, Singapore 119077

Kai Lee

PhD
Technion - Israel Institute of Technology
Technion City, Haifa 3200003, Israel

References

Kumar, N., & Kataria, V. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

Published

2024-12-25

Issue

Section

Articles