DETEKSI SERANGAN DDOS PADA SMARTHOME MENGGUNAKAN METODE NAÏVE BAYES

NANDIKA, ACHMAD and Stiawan, Deris and Exaudi, Kemahyanto (2025) DETEKSI SERANGAN DDOS PADA SMARTHOME MENGGUNAKAN METODE NAÏVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

The rapid development of smart home technology presents new challenges in terms of cybersecurity, particularly against Distributed Denial of Service (DDoS) attacks. This study aims to detect DDoS attacks in smart home networks using the Naïve Bayes algorithm. The dataset used is the COMNETS SMARTHOME dataset in .pcap format, which was converted to .csv using CiCFlowMeter on a Windows environment. Due to the imbalanced nature of the dataset, the Synthetic Minority Oversampling Technique (SMOTE) was applied to balance the distribution between classes. The evaluation results show that the model achieved an accuracy of 91.41%, a precision of 94.10%, a recall of 89.79%, an F1-score of 91.81%, and a specificity of 93.33%. These findings indicate that the combination of Naïve Bayes and SMOTE provides strong performance in detecting DDoS attacks within smart home networks, highlighting the potential of machine learning approaches in cybersecurity systems.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Smart Home, Serangan DDoS, Naïve Bayes, SMOTE, Deteksi Serangan, Keamanan Siber
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	ACHMAD NANDIKA
Date Deposited:	26 Aug 2025 01:27
Last Modified:	26 Aug 2025 01:27
URI:	http://repository.unsri.ac.id/id/eprint/183243

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