# DeepDCA: Novel Network-Based Detection of IoT Attacks Using Artificial Immune System
## 6 DeepDCA: Deep Learning Dendritic Cell Algorithm
### Anomaly Metrics: \(Mcav\) and \(K_{\alpha}\)
\begin{tabular}{l l} IG & Information Gain \\ SS & Safe Signals \\ DS & danger Signals \\ NB & Naive Bayes \\ DC & Dendritic Cell \\ TP & True Positive \\ TN & True Negative \\ FN & False Negative \\ FP & False Positive \\ IoT & Internet of Things \\ AIS & Artificial Immune Systems \\ CSM & Costimulation \\ HPC & High Performance Computing \\ IDS & Intrusion Detection System \\ SNN & Self Normalizing Neural Network \\ DCA & Dendritic Cell Algorithm \\ \end{tabular} \begin{table}
\begin{tabular}{l l l l l} \hline \hline
**Classifiers** & **Accuracy** & **Precision** & **Recall** & **F-Measure** \\ \hline
**KNN** & 91.69\% & 91.99\% & 93.75\% & 94.31\% \\ \hline
**NB** & 95.00\% & 95.00\% & 94.60\% & 94.30\% \\ \hline
**SVM** & 96.00\% & 96.80\% & 96.00\% & 97.00\% \\ \hline
**MLP** & 97.59\% & 97.99\% & 96.00\% & 96.37\% \\ \hline
**Proposed IDS** & 98.73\% & 99.17\% & 98.36\% & 98.77\% \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Comparison of Classifiers Performance. ## References and Notes

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