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

FERNANDA, ALFI AUSHAF and Setiawan, Deris and Exaudi, Kemahyanto (2024) DETEKSI SERANGAN MAN IN THE MIDDLE (MITM) ATTACK PADA SMART HOME DENGAN MENGGUNAKAN METODE DEEP NEURAL NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

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.

Item Type:	Thesis (Undergraduate)
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:	Alfi Aushaf Fernanda
Date Deposited:	15 Nov 2024 02:34
Last Modified:	15 Nov 2024 02:34
URI:	http://repository.unsri.ac.id/id/eprint/159378

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