IMPLEMENTATION OF MUTUAL INFORMATION CLASSIFIER ON PORTSCAN ATTACKS WITH SUPPORT VECTOR MACHINE (SVM) METHOD

AKHDAN, AHMAD RIFQI and Heryanto, Ahmad (2023) IMPLEMENTATION OF MUTUAL INFORMATION CLASSIFIER ON PORTSCAN ATTACKS WITH SUPPORT VECTOR MACHINE (SVM) METHOD. Diploma thesis, Sriwijaya University.

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Abstract

PortScan is an open port attack on machines connected to the network with an attack that can check for open ports. The dataset used in this research is the 2018 CIC-IDS from the Canadian Institute of Cybersecurity. This study discusses visualization of PortScan attacks on Mutual Information Classifier feature selection using the Support Vector Machine method. Then the researchers made a comparison between the Support Vector Machine and Kernel methods. From the results carried out by researchers, that the Kernel Radial Basis Function is very good with an average value of 99.53%

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	PortScan, Mutual Information Classifier, Support Vector Machine, Kerne
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General) T Technology > T Technology (General) > T173.2-174.5 Technological change
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Ahmad Rifqi Akhdan
Date Deposited:	26 Jul 2023 02:36
Last Modified:	26 Jul 2023 02:36
URI:	http://repository.unsri.ac.id/id/eprint/121842

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