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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507003539	T175988	T1759882025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1759882025

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xiii, 89 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Sistem komputer

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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