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

REZKY, MUHAMMAD and Stiawan, Deris and Exaudi, Kemahyanto (2024) DEKTEKSI SERANGAN DDOS PADA SMART HOME DENGAN METODE K-NEAREST NEIGHBOR (KNN). Undergraduate thesis, Sriwijaya University.

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Abstract

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%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Distributed Denial of Service, Deteksi Serangan, K-Nearest Neighbor
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.A25 Computer security. Systems and Data Security.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad Rezky
Date Deposited:	27 Aug 2024 08:40
Last Modified:	27 Aug 2024 08:40
URI:	http://repository.unsri.ac.id/id/eprint/156194

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