Table 15 Comparison with state-of-the-art approaches.

From: KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection

Model

Dataset

Acc(%)

F1(%)

Parameter

KB

Time

FLOP

MACs

KronNet

CICIOT2023

99.01

99.01

5K

19.8

0.2 ms

9.9K

4.9K

KronNet

BoT-IOT

99.91

99.91

4.7K

18.4

0.2 ms

9.2K

4.6K

DL-BiLTM50

CICIOT2023

93.13

91.94

2K

36.5

6.4 s

629K

–

LNN61

BoT-IOT

96.15

96.14

4.3K

181

2.9 ms

24K

–

CL-SKD-F62

BoT-IOT

99.97

99.97

14.5K

56.6

1.2 ms

145M

–

CNN-BiLSTM+Quan63

CICIOT2023

91.5

91

10K

220

2.5 s

–

–

Back to article page