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What is Ijca 924526 about?

This study evaluates the effectiveness of AI-driven machine learning algorithms, specifically CNN, ANN, and SVM, in enhancing cybersecurity threat detection and mitigation using the KDD Cup 99 dataset. The results indicate that CNN outperforms other models with a 96.5% accuracy, highlighting the potential of AI to improve cybersecurity frameworks. The research emphasizes the need for integrating AI techniques with existing security infrastructures to address the evolving landscape of cyber threats.

Author

aditya.yadav23

Language

EN