Skripsi

VISUALISASI SERANGAN MALWARE SPYWARE MENGGUNAKAN METODE K-MEANS CLUSTERING.

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Penilaian

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K-means clustering is a tool for determining the cluster structure of a data set identified by its strong similarity to other clusters or its strong differences from other clusters. Another article says that the working method of the K-Means algorithm requires using centroids as cluster prototypes and previous cluster results as output. The dataset comes from CIC-MalMem2022 provided by UNB CIC. The dataset provided by CIC-MalMem2022 has balanced data, so no data balancing process is required. K-Means managed to group 2 clusters with a silhouette score of 0.6. For best validation results, use K-Means labels using the logistic regression model on 5-Fold. The accuracy of using the K-Means label is 99.95%, so the K-Means label is better than using the malware-spyware label, which is only 99.36%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307006414	T130883	T1308832023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T1308832023

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiii, 48 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.840 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Sistem Komputer
Malware Spyware

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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