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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000048	T39714	T397142020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T397142020

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2020

Collation

xvi, 44 hlm.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.84

Content Type

Text

Media Type

other

Carrier Type

-

Edition

-

Subject(s)

Sistem komputer
Malware-Virus Komputer

Specific Detail Info

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Statement of Responsibility

NO

Other version/related

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