Table 9 Result analysis of the ablation study of TTOCDM-XAIRNN approach under the CICIDS 2017 dataset.

From: Privacy preserving blockchain integrated explainable artificial intelligence with two tier optimization for cyber threat detection and mitigation in the internet of things

CICIDS 2017 Dataset

Methods

\(\:\varvec{A}\varvec{c}\varvec{c}{\varvec{u}}_{\varvec{y}}\)

\(\:\varvec{P}\varvec{r}\varvec{e}{\varvec{c}}_{\varvec{n}}\)

\(\:\varvec{R}\varvec{e}\varvec{c}{\varvec{a}}_{\varvec{l}}\)

\(\:{\varvec{F}}_{\varvec{m}\varvec{e}\varvec{a}\varvec{n}\varvec{s}}\)

LSN

96.46

96.25

96.24

96.30

POA

97.19

96.88

97.02

96.86

A-LSTM-BiGRU without EOA

97.80

97.68

97.64

97.60

A-LSTM-BiGRU with EOA

98.36

98.24

98.28

98.24

TTOCDM-XAIRNN

98.87

98.87

98.87

98.87