Please, can we apply Machine learning algorithms in a huge dataset to make predictions based on traffic patterns especially for vulnerability analysis in an enterprise network? What tools will be useful in this regard. Thanks for your response.
Roman Liessner
Large data sets are well suited for machine learning.
Here are some algorithms for this topic:
1st Variational Autoencoder
-> Gives you information which data differ significantly from the dataset
2nd Cluster Analysis
-> Extract features and see which data is clearly different from the others
3. supervised learning
-> If you know the abnormal data you can train models for normal and abnormal behaviour
0 votes
0 thanks
- Badges
- Science topic
More Kennedy Chinedu Okafor's questions See All
Similar questions and discussions