I²DS: Interpretable Intrusion Detection System Using Autoencoder and Additive Tree

Table 1

Summary of related work of intrusion detection system.

Reference	Algorithm	Dataset	Accuracy
[8]	GA + SVM	KDDCUP-99, UNSW-NB15	99.26% (average), 93.24% (average)
[9]	IGAN + DCNN	NSL-KDD, UNSW-NB15,; CICIDS2017	84.45%, 82.53%,; 99.79%
[10]	NADS-RA	NSL-KDD, UNSW-NB15	98.80%, 94.90%
[11]	CWGAN-CSSAE	KDDTest+, KDDTest-21,; UNSW-NB15	90.34%, 80.78%,; 93.27%
[12]	RDTIDS	CICIDS2017, BoT-IoT	96.66%, 96.99%