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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Sistemasi: Jurnal Sistem Informasi Seminar Nasional Teknologi Informasi Komunikasi dan Industri INOVTEK Polbeng - Seri Informatika Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Infotekmesin Zonasi: Jurnal Sistem Informasi Just TI (Jurnal Sains Terapan Teknologi Informasi)
Jaroji Jaroji
Politeknik Negeri Bengkalis
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering

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Swarm intelligence for intrusion detection systems in internet of things environments Apri Siswanto; Akmar Efendi; Jaroji Jaroji; Fajar Ratnawati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 1: February 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i1.25857

Abstract

The rise of the internet of things (IoT) technology has brought new security challenges, necessitating robust intrusion detection systems (IDS). This research applies swarm intelligence (SI) principles, specifically the pigeon inspired optimization (PIO) algorithm, to enhance IDS effectiveness in IoT environments. Drawing on the behavior of social species, SI fosters decentralized control and emergent behavior from simple rules. These principles guide the PIO algorithm, making it apt for optimizing IDS. We utilize two comprehensive IoT datasets – the Canadian Institute for Cybersecurity (CIC) IoT dataset 2023 and the IoT dataset for IDS, aiming to boost the IDS’s capability to detect illicit attacks. By adapting the PIO algorithm, our IDS learns from the environment, adapts to evolving threats, and mitigates false-positive rates. Preliminary tests show that our SI-based IDS outperforms traditional systems’ accuracy, speed, and adaptability. This research advances SI applications in IoT security, contributing to developing more resilient IDS and ultimately enhancing IoT network security against a range of cyber threats.
Co-Authors Aditya Hasudungan Sianturi Agus Teddyyana Agustiawan, Agustiawan Apri Siswanto Dang Anom Danuri Danuri Danuri Danuri Efendi, Akmar Fajar Ratnawati Lia Rosmalia Masinta Masinta Mirga Krisma Nilamsari Muhammad Yusuf Rezki Kurniati, Rezki