Skripsi

DEKTEKSI SERANGAN DDOS PADA SMART HOME DENGAN METODE K-NEAREST NEIGHBOR (KNN)

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A Distributed Denial of Service (DDoS) attack is a type of cyber attack where the attacker makes a service or network unavailable to users by sending a large amount of fake traffic to the server, overloading the target with the intent to stop the service. In this research, the K-Nearest Neighbor (KNN) method is used to detect attacks in the dataset. The dataset used in this study is from the COMNETS Smart Home, consisting of benign and attack data. The dataset is balanced using the SMOTE oversampling technique. Using the K-Nearest Neighbor (KNN) method with an 80:20 data split, the results showed a K-5 with an accuracy of 97.32%, precision of 98.91%, recall of 95.78%, and an F1 score of 97.32%.

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Availability

Detail Information

Series Title

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Call Number

T1561942024

Publisher

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

Collation

xiv, 42 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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