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All Journal Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) Jurnal Informatika dan Teknik Elektro Terapan KOVALEN: Jurnal Riset Kimia Jurnal Fitofarmaka Indonesia JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING Elektrika International Journal of New Media Technology Jurnal Telematika FITOFARMAKA: Jurnal Ilmiah Farmasi JFIOnline Jurnal Abdimas Madani dan Lestari (JAMALI) Mitra Akademia: Jurnal Pengabdian Masyarakat SPEKTRAL : Journal of Communications, Antennas and Propagation Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Jurnal Ilmiah Teknik Elektro Sewagati Jurnal Medika Farmaka Jurnal Pengabdian Kepada Masyarakat Jurnal Cendekia Ilmiah Jurnal Pengabdian Masyarakat Inovatif Jurnal Pengabdian Masyarakat Inovatif
Asri Wulandari
Jurusan Teknik Elektro Fakultas Teknik Universitas Brawijaya Jl. Mayjend Haryono 167 Malang Indonesia 65145 Telp. +62 341 587710, 587711 Fax : +62 341 551430
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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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DDoS Attacks Detection With Deep Learning Approach Using Convolutional Neural Network Widodo, Rafiq Amalul; Delimayanti, Mera Kartika; Wulandari, Asri
Journal of Applied Informatics and Computing Vol. 8 No. 2 (2024): December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i2.8242

Abstract

The detection system of DDoS (Distributed Denial-of-Service) attacks aims to enhance network security across all facets of internet technology utilization. One is at SPKLU, which stands for Public Electric Vehicle Charging Station. The research employed a deep learning approach utilizing a Convolutional Neural Network (CNN) on a publicly available dataset. Based on our study and analysis, CNN has a precision rate of 95%. Its high accuracy and balanced performance across diverse attack types indicate the model's practical application in real-life situations. The model demonstrates promising performance in detecting different network traffic anomalies, offering significant insight into its potential for practical use. Further investigation is necessary to strengthen the resilience of DDoS assault tactics against emerging dangers and to tackle any potential constraints.
Co-Authors Adi Pratama, Riza Afifah B. Sutjiatmo Aini Auliana Amar Akbar, Muhammad Ilham Alfin Hikmaturokhman Ambarwati, Rini Amiluddin, Muh. Rafiq Andi Saifah Anna Permanasari Ashura Rizkiyani, Nanda Aurian, Adizka Azzahra Azhara, Meisya Ayu Bambang Sardi Bina Lohita Sari Biyanto, Farhan Yuswa Chaedar, Nur Damar Hayyu Raharjo Dandun Widhiantoro Dwi Juli Puspitasari Eka Herlina Elin Yulinah Emy OKTAVIANI Endah Budi Purnomowati Faizah, Annisa Maulida Fatmi, Mindya Fito Handayani, Marybet Tri Retno Hariyani, Tuwis Hasna, Akita Herfiah, Shita Honifa Honifa, . Koniah, Eni Kusmaningati, Suswini Kusmaningati, Suswini M. Yogi Riyantama Isjoni Malatabu, Shapira Mera Maulana, Asad Mayanti, Akita Hasna Meidiansyah, Muhammad Roby Mera Kartika Delimayanti Mindiya Fatmi Miswan Mohammad Lutfi Muhammad Thahiruddin MURIE DWIYANITI1 Mutiara Putri, Adinda N, Raviadin N Nadhiroh, Nuha Narvikasari, Suci Ni Ketut Sumarni Nina Herlina Nina Herlina Noerlaela, Ella Nugroho, Raviadin Nurhaeni Nurhaeni Nurhaeni Nurhikmah, Wilda Padhilah, Prasti Restu Rahmadina, Hizra Nur Ramadhani, Eka Hero Rika Novita Wardhani Rini Ratna Nafita Sari, Rini Ratna Nafita Rizki Alfanadiyah, Rizki Rohman, Reza Fadilah Safitri, Nadifha Tiara Sirajudin, Alviana Sobirin, Muhamad Misbahudin Sofiani, Alvina Sri Wardatun Suci Nar Vikasari, Suci Nar Sunarya, M. Rustan Toto Supriyanto Tri Retno, Marybet Widjaya, Andrea Palleva Widodo, Rafiq Amalul Wulandari, Cyntia Yulia Ratnawati, Yulia Yusantina Calvianty, Intan Zulhelman Zulhelman