Analisis Serangan DDoS Menggunakan Metode Jaringan Saraf Tiruan

Jurnal Sisfokom (Sistem Informasi dan Komputer)

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Title Analisis Serangan DDoS Menggunakan Metode Jaringan Saraf Tiruan
Creator Ridho, M. Alfine
Arman, Molavi
Subject Information Technology
DDOS; Neural Netwok; Fixed Moving Window; Traffic Log; Intrusion Detection System

Description DDoS attack (Distribute Denial of Service) is one of the weapons of choice from hackers because it’s proven it has become threat on the internet worlds. The frequent of DDoS attacks creates a threat to internet users or servers, so that requires the introduction of several new methods that occur, one of which can use the IDS (Intrusion Detection System) method. This study took advantage of Neural Network ability to detect DDoS attack or normal based on traffic log processed statistically using Fixed Moving Window. The DDOS attack scheme uses a network topology that has been designed based on the needs and objectives that are found in monitoring network traffic. In each DDoS data and normal consist of 27 traffic log with total numbers of dataset as much as 54 data along with each testing data as much as 10 DDoS data and normal. Data collection was performed using LOIC, HOIC, and DoSHTTP with 300 seconds of traffic monitoring. The result of the Fixed Moving Window processing is the extraction value that will be put in the Neural Networks have 6 input values, one hidden layer with 300 neurons and 2 outputs which consist of a normal dataset and a DDoS dataset. The results of this study showed that Neural Network can detect DDoS and Normal in a good way with accuracy value as much as 95%.
Publisher ISB Atma Luhur
Date 2020-10-12
Type info:eu-repo/semantics/article
Peer-reviewed Article

Format application/pdf
Source Jurnal Sisfokom (Sistem Informasi dan Komputer); Vol 9, No 3 (2020): NOVEMBER; 373-379
Language eng

Rights Copyright (c) 2020 Jurnal Sisfokom (Sistem Informasi dan Komputer)

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