Skripsi

DETEKSI SERANGAN MAN IN THE MIDDLE (MITM) ATTACK PADA SMART HOME DENGAN MENGGUNAKAN METODE DEEP NEURAL NETWORK

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MITM attacks pose a serious threat by enabling intruders to intercept and alter communications between devices in an Internet of Things (IoT) network. This research proposes a method for detecting Man-in-the-Middle (MITM) attacks in smart home systems using a Deep Neural Network (DNN) algorithm. The study uses the COMNETS SMART HOME dataset with ARP Poisoning attacks. Data were processed with an oversampling technique to balance classes, then implemented through DNN to detect anomalies. The results show that this method achieved up to 98% accuracy in testing with a 90:10 training-to-testing data ratio. The application of the DNN algorithm demonstrated high performance in detecting MITM attacks, making it an effective alternative for enhancing network security in smart home systems.

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Availability

Detail Information

Series Title

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Call Number

T1593782024

Publisher

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

Collation

xviii, 151 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.310 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Sistem Komputer
Keamanan Jaringan Komputer

Specific Detail Info

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Statement of Responsibility

TUTI

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