# Intelligent Network Intrusion Prevention Feature Collection and Classification Algorithms
## 3 The Architecture of System ISTID
### Pre-Processing Normalized Data
The use of most essential features selected the feature selection algorithm, which uses smart machines for decision making, enhances the accuracy of the classification process leading to an increase of intrusion detection using temporal constraints, bizarre rules, and genetic algorithms. Figure 5: Number of Attacks vs. Accuracy (%). It can be shown that if it is compared with existing ISTID, the performance of the trusted ISTID will perform well. This is because the confidential, secure routing algorithm only uses the trusted routing nodes. The packet delivery ratio in the safe routing model is improved compared to the conventional attack scenario ISTID. The delay analysis of ISTID and trusted ISTID is shown in Figure 7. Figure 7 demonstrates that using trust values to define the honest nodes and route the trustworthy nodes decreases the latency as opposed to the routing utilizing the traditional ISTID algorithm, as shown in Figure 7. This is because untrustworthy nodes are not taken into consideration in the ISTID. On the opposite, untrustworthy delays are avoided the security method suggested. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Attacks** & **Precision (\%)** & **Recall (\%)** & **G-Measure (\%)** & **Performance Analysis (\%)** \\ \hline DoS & 91.23 & 88.12 & 88.24 & 98.25 \\ S2M & 94.62 & 96.35 & 96.23 & 99.64 \\ Probe & 97.85 & 94.62 & 97.82 & 99.72 \\ V2S & 98.67 & 99.82 & 99.25 & 99.29 \\ ISTID & 95.62 & 98.26 & 99.75 & 99.32 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Analysis of Attacks. Figure 6: Number of Attacks vs. Performance Analysis (%). The usage of trust scores increases the packet delivery ratio 3.5 percent one point. It is further increased to a boost in the packet delivery ratio of overall 4.32 percent on ISTIDs, while the routing process requires clustering and confidence management. ## 5 Conclusions

A new protected routing algorithm focused on the cluster, and confidence is suggested in this study. The reliability of routing is ensured in this algorithm increasing the packet returns using IDS feedback. Two new selection algorithms, IAIFSA and ISTIDs were proposed for the development of this intelligent ID. Besides, the idea is to improve the precision of intrusion detection leading to increased reliability of communication utilizing two intelligent classification algorithms ISTIDs and DoS, S2M, and V2S. In comparison, the efficient routing algorithm based on confidence and cluster improves the distribution ratio of packets. It reduces the latency to improve the efficiency of routing utilizing the proposed algorithm. Methodology, D.S. ; Resources, P.D. ; Supervision, B.N. ; Writing--original draft, A.N. ; Writing--review & editing, A.R. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable. The authors declare no conflict of interest. ## References

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