DETEKSI SERANGAN DENIAL OF SERVICE (DOS) PADA JARINGAN SMARTHOME IPV6 MENGGUNAKAN METODE NAÏVE BAYES

AKMAL, MUNAWIRUL and Stiawan, Deris and Hermansyah, Adi (2025) DETEKSI SERANGAN DENIAL OF SERVICE (DOS) PADA JARINGAN SMARTHOME IPV6 MENGGUNAKAN METODE NAÏVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

Denial of Service attacks are a type of attack that can cripple a network system by flooding the target with a large number of request packets, such as ICMPv6 Flood "Echo Request". This attack is highly effective on IPv6-based networks that use smarthome devices due to the high dependence on the ICMPv6 protocol. The COMNETS Smarthome IPv6 dataset is used in this study, which is the result of simulated IPv6-based smarthome network traffic with two classes: Normal (BENIGN) and Attack (DoS). This study aims to detect ICMPv6 Flood-based DoS attacks by applying the Naïve Bayes classification algorithm using Gaussian and Bernoulli models for comparison. The results of the study show that the Gaussian Naïve Bayes model achieved an accuracy of 89.44%, precision of 91.33%, recall of 89.50%, and f1-score of 89.39%. Meanwhile, the Bernoulli Naïve Bayes model achieved an accuracy of 90.43%, precision of 92.02%, recall of 90.50%, and f1-score of 90.41%. These findings show that the Naïve Bayes model is capable of effectively classifying ICMPv6-based attack traffic in a smarthome environment.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Keamanan Siber, Denial of Service, IPv6, Naïve Bayes, Smarthome
Subjects:	T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis > T57.85 Network systems theory Including network analysis Cf. TS157.5+ Scheduling
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Munawirul Akmal
Date Deposited:	26 Jun 2025 08:03
Last Modified:	26 Jun 2025 08:03
URI:	http://repository.unsri.ac.id/id/eprint/175988

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