Seleksi Fitur Dengan Information Gain Untuk Meningkatkan Deteksi Serangan DDoS menggunakan Random Forest

Authors

  • Kurniabudi Kurniabudi STIKOM Dinamika Bangsa https://orcid.org/0000-0001-9073-8858
  • Abdul Harris STIKOM Dinamika Bangsa
  • Abdul Rahim STIKOM Dinamika Bangsa

DOI:

https://doi.org/10.33633/tc.v19i1.2860

Keywords:

Seleksi fitur, DDoS, Information Gain, Random Forest, CICIDS-2017

Abstract

Tantangan deteksi serangan saat ini adalah jumlah trafik yang besar dan beragam serta hadir jenis serangan baru. Sehingga diperlukan teknik baru untuk meningkatkan performa deteksi. Dengan pesatnya perkembangan teknologi layanan komunikasi, menghasilkan trafik dengan informasi yang beragam. Pada dasarnya tidak semua informasi pada trafik jaringan digunakan untuk mendeteksi serangan seperti DDoS. Penelitian ini bertujuan meningkatkan performa Random Forest dalam mendeteksi serangan DDoS dengan seleksi fitur menggunakan teknik Information Gain. Berdasarkan hasil eksperimen diperoleh bahwa teknik yang diusulkan mampu meningkatkan akurasi deteksi DDoS hingga 99.99% dengan tingkat alarm palsu 0.001

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Published

2020-02-27

Issue

Vol. 19 No. 1 (2020): Februari 2020

Section

Articles

License

Copyright (c) 2020 kurniabudi kurniabudi

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