We will use AWID data for identifying impersonation. AWID is a family of datasets focused on intrusion detection. AWID datasets consist of packets of data, both large and small. These datasets are not inclusive of one another.
Each version has a training set (denoted as Trn) and a test set (denoted as Tst). The test version has not been produced from the corresponding training set.
Finally, a version is provided where labels that correspond to different attacks (ATK), as well as a version where the attack labels are organized into three major classes (CLS). In that case the datasets only differ in the label:
Name | Classes ... |