Skip to main content

Advances, Systems and Applications

Table 1 CIC-IDS-2017 data distribution

From: A multi-classification detection model for imbalanced data in NIDS based on reconstruction and feature matching

Class (Amount)

Attack Types in Data Set

Amount

Percentage

Training (1968801)

BENIGN

1,581,577

80.33%

DoS

264,356

13.43%

PortScan

110,364

5.61%

Patator

9629

0.49%

WebAttacks

1515

0.08%

Bot

1360

0.07%

Testing (843773)

BENIGN

677,820

80.33%

DoS

113,296

13.43%

PortScan

47,299

5.61%

Patator

4126

0.49%

WebAttacks

649

0.08%

Bot

583

0.07%