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DETEKSI SERANGAN DDOS DAN MITM PADA JARINGAN SMARTHOME MENGGUNAKAN METODE RANDOM FOREST

Amanda, Clarisa Putri - Personal Name;

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The development of smart home technology enables users to control and monitor household devices automatically through the Internet of Things (IoT). However, this high connectivity also increases the risk of cyberattacks such as Distributed Denial of Service (DDoS) and Man in The Middle (MITM), which can compromise system stability and security. This study aims to detect DDoS and MITM attacks in smart home networks using the Random Forest algorithm and to validate the results with cybersecurity analysis tools. The research involved collecting and labeling smart home network datasets using Network Miner and DynamiteLab, followed by model training with the Random Forest algorithm. The dataset was divided into 80% training and 20% testing to evaluate model performance. The results show that the Random Forest method achieved excellent detection performance, with F1-scores of 99.90% for DDoS, 98.61% for MITM, and 98.46% for normal traffic. These findings demonstrate that the Random Forest-based machine learning approach is highly effective for multiclass attack detection in smart home networks. However, this research has limitations as it has not yet been tested in real-time conditions or compared with other algorithms such as XGBoost or Support Vector Machine (SVM). Keywords: Smart Home, DDoS, MITM, Random Forest, Machine Learning

Availability

Inventory Code	Barcode	Call Number	Location	Status
2507006365	T185874	T1858742025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title: -
Call Number: T1858742025
Publisher: Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025
Collation: xiii, 95 hlm.; ilus.; tab.; 29 cm.
Language: Indonesia
ISBN/ISSN: -
Classification: 005.840 7
Content Type: Text
Media Type: unmediated
Carrier Type: other (computer)
Edition: -
Subject(s): Prodi Sistem Komputer
Jaringan Smarthome
Specific Detail Info: -
Statement of Responsibility: MI

Other version/related

Title	Edition	Language
DETEKSI SERANGAN DDOS DOS DAN MITM PADA JARINGAN SMARTHOME MENGGUNAKAN METODE SUPPORT VECTOR MACHINE		id
DETEKSI SERANGAN DDOS DOS DAN MITM PADA JARINGAN SMARTHOME DENGAN MENGGUNAKAN METODE DECISION TREE		id
DETEKSI SERANGAN DENIAL OF SERVICE (DOS) PADA JARINGAN SMARTHOME IPV6 MENGGUNAKAN METODE NAÏVE BAYES		id
DETEKSI SERANGAN DDOS DAN MITM PADA JARINGAN SMARTHOME DENGAN METODE MACHINE LEARNING XGBOOST		id
DETEKSI SERANGAN DDOS DOS DAN MITM PADA JARINGAN SMARTHOME DENGAN MENGGUNAKAN METODE DECISION TREE		id
DETEKSI SERANGAN DENIAL OF SERVICE (DOS) PADA JARINGAN SMARTHOME IPV6 MENGGUNAKAN METODE NAÏVE BAYES		id
DETEKSI SERANGAN DDOS DAN MITM PADA JARINGAN SMARTHOME DENGAN METODE MACHINE LEARNING XGBOOST		id

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DETEKSI SERANGAN DDOS DAN MITM PADA JARINGAN SMARTHOME MENGGUNAKAN METODE RANDOM FOREST

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