Table 21 Model performance comparison.

From: Mathematical modeling of adaptive information security strategies using composite behavior models

Model

Detection accuracy in %age

Adaptation time(timestamp)

Computation time in ms

Remarks

Proposed model

88.4

320

150

High adaptability and accuracy

Reinforcement learning5,35

85.0

400

180

Good adaptation and higher computation

Game-theory model23,36

83.5

350

200

Strategic but computationally intensive

Bayesian network detector34

79.2

-

120

Probabilistic but static adaptation

Deep learning autoencoder37,38

86.7

-

250

Higher accuracy and slow adaptation

Random forest callsifier32

75.0

-

90

Good baseline and limited adaptability