Research on the Detection of Network Intrusion Prevention With Svm Based Optimization Algorithm

Abstract

Support vector machine (SVM) has a good application in intrusion detection, but its performance needs to be further improved. This study mainly analyzed the SVM optimization algorithm. The principle of SVM was introduced firstly, then SVM was improved using the improved whale optimization algorithm (WOA), the improved WOA (IWOA)-SVM based intrusion detection method was analyzed, and finally experiments were carried out on KDD CUP99 to verify the effectiveness of the algorithm. The results showed that the IWAO-SVM algorithm was more accurate in attack detection; compared with SVM, PSO-SVM and ant colony optimization (ACO)-SVM algorithms, the performance of the IWAO-SVM algorithm was better, the detection rate was 99.89%, the precision ratio was 99.92%, the accuracy rate was 99.86%, and the detection time was 192 s, showing that it had high precision in intrusion detection. The experimental results verify the reliability of the IWAO-SVM algorithm, and it can be promoted and applied in the detection of network intrusion prevention.Povzetek: Algoritem SVM je bil prilagojen za iskanje napadov v omrežjih.

An Analysis of Emotional Tendency Under the Network Public Opinion: Deep Learning

“…The public's emotional tendency to the three events was identified using the CNN classifier and SVM classifier, and the comparison results are shown in Table 1. The data in Table 1 showed that the recognition accuracy of CNN classifier was significantly higher than that of the SVM classifier [24]. It was because the CNN classifier adopted the mode of forward-propagation prediction and back-propagation error, and its unique chain rule improved the output accuracy of the deep neural network model.…”

Feature Extraction and Classification of Text Data by Combining Two-stage Feature Selection Algorithm and Improved Machine Learning Algorithm

“…To further improve the text classification, an improved SVM algorithm based on Fourier hybrid kernel function is proposed. This study has a significant positive effect on improving the accuracy and processing efficiency of text classification [15][16][17][18][19].…”

Case Study: Conducting a Risk Assessment for an Electrical Utility

“…Third, it should install a network-based intrusion prevention system. Such a system analyzes specific information from the network attached ICS components to seek the characteristics that show an attack is occurring and prevent the attacking traffic from reaching its target (Wang & Xu, 2020). The last recommendation MITRE (2021b) makes is to segment the ICS components into their own distinct network space.…”