Research Article

Classification of Abnormal Traffic in Smart Grids Based on GACNN and Data Statistical Analysis

Table 3

The 12 features included in the UNSW-NB15 dataset.

No.Feature nameTypeFeature descriptionFeature classification

1srcipNominalSource IP addressFlow features
2sportIntegerSource port numberFlow features
3protoNominalTransaction protocolFlow features
4sbytesIntegerSource to destination bytesBasic features
5dbytesIntegerDestination to source bytesBasic features
6swinIntegerSource TCP window advertisementContent features
7smeanszIntegerMean of the flow packet size transmitted by the srcContent features
8sjitFloatSource jitter (mSec)Time features
9djitFloatDestination jitter (mSec)Time features
10ct_flw_http_mthdIntegerNo. of flows that have methods such as get and post in http service.Additional generated features
11ct_ftp_cmdIntegerNo of flows that have a command in ftp sessionAdditional generated features
12attack_catNominalThe name of each attack categoryLabelled features