Skripsi

VISUALISASI SERANGAN TROJAN METASPLOIT PADA ANDROID DENGAN METODE K-MEANS

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Penilaian

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K-Means clustering is a tool used to determine the cluster structure of a dataset identified by its strong similarity to other clusters or its strong difference from other clusters. In another paper, it is stated that the working method of the K-Means algorithm requires the use of centroids as cluster prototypes and previous cluster results as its output. The dataset originates from the COMNETS research experiment. K-Means successfully clustered into 2 clusters with a silhouette score of 0.81, and the elbow method results indicated a significant drop at 2 clusters. The parallel coordinates visualization showed patterns of attacks from the Metasploit trojan. Validation using the Confusion Matrix showed that the model achieved an accuracy of 85.94%. Keyword : K-means Clustering, Cyber Attack, Metasploit, Silhouette Score

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407003731	T146546	T1465462024	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1465462024

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer., 2024

Collation

xiii, 46 hlm.; ilus.; tab.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.307

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

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Subject(s)

Sistem Pakar
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

UIN Farrah

Other version/related

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