I want to use Machine Learning Algorithms to detect network anomaly, to achieve high detection accuracy, low false positive rate, to model the network basis behavioural analysis and testing on various datasets.
hi! the project requires 5-7 days. we can employ classification and regression analysis to determine the DoS attacks.
I'll help create a simulation in MATLAB. do you have anything else to add?
myself: research student in data science specializing in machine learning methods and soft computing.
message me when free. thank you.
Hello,
I am in Master course, my major is Network security using Machine Learning, so I am very familiar with anomaly detection. I have work with it for a long time.