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Advances, Systems and Applications

Table 2 CIC-IDS-2017 data distribution

From: Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model

Data Category

Training set (percentage)

Test set (percentage)

BENIGN

396,454 (79.29%)

158,556 (79.28%)

DoS Hulk

40,078 (8.02%)

15,929 (7.97%)

PortScan

27,959 (5.5918%)

11,387 (5.6935%)

DDoS

22,606 (4.5212%)

8956 (4.478%)

DoS GoldenEye

1795 (0.359%)

668 (0.334%)

Infiltration

1469 (0.2938%)

572 (0.286%)

FTP-Patator

1390 (0.278%)

550 (0.275%)

Bot

1367 (0.2734%)

577 (0.2885%)

Web Attack

2933 (0.5866%)

1183 (0.5915%)

SSH-Patator

1018 (0.2036%)

444 (0.222%)

DoS slowloris

1008 (0.2016%)

392 (0.196%)

DoS Slowhttptest

995 (0.199%)

377 (0.1885%)

Heartbleed

928 (0.1856%)

409 (0.2045%)

Total

500,000

200,000