Skripsi

DETEKSI SERANGAN DDOS DOS DAN MITM PADA JARINGAN SMARTHOME DENGAN MENGGUNAKAN METODE DECISION TREE

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Penilaian

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Smart Home is a form of automation technology designed to facilitate household activities with the help of the Internet of Things (IoT). IoT technology enables objects around us, such as sensors, cameras, and smart devices, to connect to the Internet. However, the advancement of IoT technology also makes it a target for cyberattacks such as Distributed Denial of Service (DDoS), Denial of Service (DoS), and Man-in-the-Middle (MITM) attacks. In this study, the authors conducted a real-world simulation of attacks, including DDoS, DoS, and MITM, on vulnerable Smart Home devices as a form of security testing. The use of information security tools played a crucial role in the success of this testing, employing tools such as CapLoader, Network Miner, Dynamite Lab, and IDS Snort. Additionally, T-Shark was utilized to extract data from .pcap files into .csv format for testing with Machine Learning algorithms, specifically using the Decision Tree model. The results of the study demonstrated that the Decision Tree method with the Gini criterion achieved excellent performance, with the highest F1-scores recorded for the following categories: MITM at 98.68%, Benign at 99.97%, DDoS at 99.99%, and DoS at 99.96%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507000366	T165182	T1651822025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1651822025

Publisher

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

Collation

xiv, 74 hlm., ilus., tab.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.430 7

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Sistem Komputer, Fakultas Ilmu Komputer
Sitem Operasi

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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