|Model||Learning Model||Input Data||Characteristics|
|FCNN||Supervised||Image, sound, etc.||
- No special assumptions needed to be made about the input.|
-Requires a huge number of connections and network parameters.
-Processes sequences of data through internal data.|
-Useful in IDS with time-dependent
-The GAN sets up a supervised learning problem to do unsupervised learning.|
|CNN||Supervised||Image, sound, etc.||-Need a large training dataset.|
-It can be trained in an unsupervised manner.|
-It can be used for intrusion detection in the event of a poor reconstruction.
- Generating new content
- Filtering out noise