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. 2022 Dec 14;22(24):9837. doi: 10.3390/s22249837

Table 5.

Summary of BotNet attack Detection using Deep Neural Network in an SDN-enabled IoT Networks.

Author Method Dataset Acc (%) P (%) R (%) F1 (%)
Khan et al. [93] DNN-DNN N_BaIoT 99.93 99.87 99.86 99.86
Al-Abassi et al. [94] DNN+DT ICS 99.67 97 99 99
Tang et al. [95] DNN NSL-KDD 75.75 83 75 74
Narayanadoss et al. [96] DNN Simulated data 85 87 87 87
Ferrag et al. [97] DNN CICDDoS2019 93.88 68 63 58
TON_IoT 98.93 93 93 95
Ravi et al. [98] DNN+K-means NSL-KDD 99.78 - - 99.72
Makuvaza et al. [99] DNN CICIDS 2017 96.67 97.21 97.29 97.25
Ravi et al. [100] Deep ELM Simulated 97.9 97.2 97.6 97.2
UNB-ISCX 96.28 95.16 97.27 96.2
Maeda, Shogo et al. [101] DNN CTU-13 and ISOT 98.7 98.99 99.70 99.34
Sattar et al. [102] DNN-LSTM N_BaIoT 99.99 99.99 99.99 99.99