I am trying to find out and propose features that can be used to detect IPv6 attacks.
I have seen a few researchers used IP address as a feature, but I see that it can be a feature because it will cheat the classifiers which will consider that the given IPs in the training dataset are indicators for the attacks or the normal record. on another work. the classifiers will consider that the IPs that appear with attack records in the training dataset as an indicator for any recodes in the testing datasert. therefore if this model is applied online it will consider any record with one of these IPs as an attack and ignore any attack from other IPs
please give me your opinion or any resources that discussed this issue
Thanks