S et al., 2023

technology
Author

S et al.

Year of Publication

2023

Conference

International Conference on Sustainable Communication Networks and Application

Publisher

Institute of Electrical and Electronics Engineers (IEEE) (Theni, India)

Certainly, here is a literature survey with citations for recent-year papers that are relevant to the examination of cyber intrusion detection utilizing SVM, KNN, and RF:

[…]

Certainly, to provide results and discussions for the classification of cyber attacks using k-nearest Neighbors (KNN), Support Vector Machines (SVM), and Random Forest (RF), you would typically use a programming environment or tool such as Jupyter notebook with popular libraries like Scikit-Learn. Here’s an example of how you might structure this analysis:

[…]

Certainly! I’ll provide a simplified example of implementing cyber attack classification using k-nearest Neighbors (KNN), Support Vector Machines (SVM), and Random Forest (RF) in Python with the Scikit-Learn library.1

References

1S A, Maheswari GU, Nandhini S. Analysis of Intrusion Detection in Cyber Attacks using Machine Learning Neural Networks. In: 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA). IEEE; 2023:1692-1696. doi:10.1109/ICSCNA58489.2023.10370174