Improving the accuracy of the intrusion detection system in the detection of DoS attacks using one class SVM and comparison with SVM

Group 2 will use one class of support vector machines (SVMs) to build an intrusion detection system, and Group 1 will use support vector machines (SVMs) to compare the two groups’ performance. Two types of intrusion detection systems (IDS) are covered in the study; one uses a support vector machine...

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Bibliographische Detailangaben
Hauptverfasser: Rakesh, T., Nagalakshmi, T. J.
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:Group 2 will use one class of support vector machines (SVMs) to build an intrusion detection system, and Group 1 will use support vector machines (SVMs) to compare the two groups’ performance. Two types of intrusion detection systems (IDS) are covered in the study; one uses a support vector machine (SVM) method, while the other is an innovative IDS. There are a total of 38 samples used to assess the research, with 19 samples in each group. The statistical analysis was conducted using the SPSS utility. Using G power and a pretest power of 80%, we determined the sample size. The high degree of significance (p
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0227992