Detection of Cyber Attacks using AI
Gurunishal Saravanan, Julia Punitha Malar Dhas, I.. Devapriya · 2024
Several cyber attacks happen globally on several commercial and industrial technological devices. If these attacks are detected early, the damages can be reverted or even prevented. Models such as Gaussian Naive Bayes, Decision Tree, SVM, Random Forest, and Logistic Regression are used to detect these attacks. After these algorithms are trained, a custom model is designed using ensemble learning methods. The ensemble learning method used is known as Stacking, which integrates many algorithms to provide a better accuracy value. The model’s performance is assessed and compared to consider the best model to detect cyber attacks. The accuracy score is used to evaluate the models. Based on these results, the most suitable model is chosen.