VISUALISASI (CITRA GRAYSCALE) DAN KLASIFIKASI MALWARE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

ANGGARA, THERIO and Stiawan, Deris (2020) VISUALISASI (CITRA GRAYSCALE) DAN KLASIFIKASI MALWARE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

This research is based on the process of visualizing malware capture data into a grayscale image, from the grayscale image there is a repeating pattern, the pattern will be taken using the Gray Level Coocurrence Matrix with angles 0, 45, 90, 135 with attributes of dissimilarity, correlation, homogeneity, contrast, ASM, energy. The features obtained will be carried out by presenting labels with the training data process, where the system will study the training data in detail, after the system learns the training data, the test process will be carried out by classifying the existing malware into their respective families using the Support Vector Machine method.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Support Vector Machine,Gray Level Coocurrence Matrix,Machine learning,Visualisasi
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Therio Anggara
Date Deposited: 12 Jan 2021 03:28
Last Modified: 12 Jan 2021 03:28
URI: http://repository.unsri.ac.id/id/eprint/39714

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