VISUALISASI POLA SERANGAN BRUTE FORCE DENGAN ALGORITMA SUPPORT VECTOR MACHINE

FATHONI, FRILIANDI and Heryanto, Ahmad and Hermansyah, Adi (2023) VISUALISASI POLA SERANGAN BRUTE FORCE DENGAN ALGORITMA SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

Brute force is one of many attacks that are often used by hackers in carrying out the cyber crimes. For recognizing the attack patterns visualization is carried out, so that in presenting this research, looking for attack patterns using parallel coordinates and support vector machines as the classification. In this study, the SVM classification uses several kernels which later will be compared with the highest average values, namely, radial basis function kernels, linear kernels, polynomial kernels, and sigmoid kernels. In the classification using the Support Vector Machine (SVM) method to determine accuracy, precision, recall and F1-score using the confusion matrix technique. In this study using the CIC-IDS2017 dataset, after the research was carried out the Radial Basis Function kernel became the kernel with the best average value.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	SERANGAN, BRUTE FORCE , VECTOR MACHINE
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5105.5.S72 Computer networks
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Friliandi Fathoni
Date Deposited:	23 Feb 2023 02:33
Last Modified:	23 Feb 2023 02:33
URI:	http://repository.unsri.ac.id/id/eprint/89891

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