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- W3129392508 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." @default.
- W3129392508 created "2021-03-01" @default.
- W3129392508 creator A5053568232 @default.
- W3129392508 creator A5074087500 @default.
- W3129392508 date "2020-12-31" @default.
- W3129392508 modified "2023-09-27" @default.
- W3129392508 title "VISUALISASI (CITRA GRAYSCALE) DAN KLASIFIKASI MALWARE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE" @default.
- W3129392508 hasPublicationYear "2020" @default.
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