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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) SMATIKA DoubleClick : Journal of Computer and Information Technology Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Cyber Security dan Forensik Digital (CSFD) Respati JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Infotech: Jurnal Informatika & Teknologi The Indonesian Journal of Computer Science Research Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Journal of Intelligent Software Systems Jurnal Teknologi Informasi Jurnal INFOTEL
Nugroho, Muhammad Agung
Universitas Teknologi Digital Indonesia
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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Enhancing SDN Controller Resilience to DDoS Attacks with IAT-Based Detection on CICIoT2023 Nugroho, Muhammad Agung; Kartadie, Rikie
JURNAL INFOTEL Vol 17 No 3 (2025): August
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i3.1414

Abstract

This study addresses the vulnerability of Software-Defined Networking (SDN) controllers to Distributed Denial of Service (DDoS) attacks, a critical issue for secure smart city and e-government applications. Using the CICIoT2023 dataset. Methods: We employed Random Forest with Recursive Feature Elimination and Cross-Validation (RFECV) to identify critical features for DDoS detection, validated through simulations in a Mininet/ONOS environment. Results reveal Inter-Arrival Time (IAT) as the most significant feature (importance score: 0.3200), with Controller Resources being the most vulnerable component (vulnerability score: 0.9048). DDoS-ICMP_Flood was the most effective attack (vulnerability score: 1.00), while Controller Distribution achieved a mitigation effectiveness of 0.9048. This research introduces a novel temporal feature-based detection approach, outperforming volume-based methods, and proposes adaptive mitigation strategies for SDN resilience. These findings enhance secure SDN deployment in dynamic IoT-driven environments.
Co-Authors Alon Jala Tirta Segara Andriyani, Widyastuti Anwar, Ajie Al Qadri Arief Ikhwan Wicaksono Arrio Saputra Bagas Antuk Pramukti Bagas Triaji Bagus Fahrudin Jamal Bambang Purnomosidi Dwi Putranto Chanief Budi Setiawan Cuk Subiyantoro Damayanti, Ariesta Danny Kriestanto Danny Kriestanto, Danny Dedy Hariyadi Didik Maulana Dimas Arif Setyawira Dwi, Sandy Ananda Edi Iskandar Ema Utami Endang Susilowati Erna Hudianti Femi Dwi Astuti Hidayat, Nanda Indra Yatini Istri Sulistyowati Laily Rohmawati Laurentius Rezaldi Mardika, Ardeana Galih Maria Mediatrix Sebatubun Miftahul ulum Moh. Abdul Kholik Muhammad Fahrur Rifai Muhammad Najib Nanda Diaz Arizona Nila Feby Puspitasari Pius Dian Widi Anggoro Prayitna, Adiyuda Ragil Murdiantoro Aji Rega Panji Anugrah Rikie Kartadie Ro'uf, Syahrur Rochmana, Lintang Suci Sahputra, Eka Saputra, Rizqi Kurniawan Saputro, Febriyan Adji Sudarmanto Sudarmanto Sudarmawan, Sudarmawan Syamsu Windarti Syujak, Ahmad Rois Totok Suprawoto Wagito Wagito Yudhi Kusnanto Zhakty Adhiluhung