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DETEKSI SERANGAN TROJAN METASPLOIT PADA ANDROID DENGAN METODE SUPPORT VECTOR MACHINE (SVM)

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Support Vector Machine (SVM) is a machine learning algorithm that falls into the category of supervised learning. SVM works by constructing an optimal hyperplane that separates two classes in a feature space. This hyperplane is chosen in such a way that it has a maximum margin, which is the largest distance between data points from both classes. In addition to the hyperplane, hyperparameters are also one of the things that need to be considered in this method. The dataset comes from the COMNETS research experiment. Support Vector Machine successfully classifies malware and benign network traffic. With model evaluation using the Confusion Matrix and hyperparameter optimization using the Gridsearch CV method, the model is able to provide good detection performance by obtaining an accuracy of 89.37%.

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Availability

Detail Information

Series Title

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Call Number

T1557132024

Publisher

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

Collation

xiii, 49 hlm.; ilus.; tab, 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

005.807

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

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Subject(s)

Keamanan Data
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEW

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