Deteksi Serangan Mirai Pada IoT Menggunakan Recurrent Neural Network (RNN) dengan Optimasi Hyperparameter Berbasis Bayesian Optimization

Muhammad Ilham Mansis ; Riza Pahlevi ; Ronald Naibaho ; Eko Arip Winanto
Prosiding Seminar Nasional Ilmu Teknik 📅 2025 Vol 2, No 2 🔗 DOI: 10.61132/prosemnasproit.v2i2.104
Abstract
The massive adoption of Internet of Things (IoT) devices is expanding the cyberattacks surface, particularly by the Mirai botnet, which exploits the dynamic characteristics of data traffic. This research proposes a Mirai detection approach based on a Recurrent Neural Network (RNN) optimized using Bayesian Optimization to improve prediction accuracy on sequential data. Unlike previous studies, this research utilizes the latest CIC IoT-DIAD 2024 dataset and applies probabilistic optimization to the hyperparameter space, including RNN units, dropout, and learning rate. The experiment was conducted on 201,021 valid data points, with dimensionality reduction using PCA as the optimal point to represent essential features without redundancy. The results show a significant increase in accuracy from 97.95% to 99.69%, accompanied by an 84% decrease in False Negatives, an 86% decrease in False Positives, and an AUC value of 0.9999. These findings confirm that integrating RNN and Bayesian Optimization not only improves numerical performance but also strengthens the reliability of the intrusion detection system for modern IoT ecosystems with controlled computational loads.
Keywords
Bayesian Optimization; Deteksi Intrusi; Internet of Things; Mirai; Recurrent Neural Network
How to Cite

Muhammad Ilham Mansis, et al. (2025). Deteksi Serangan Mirai Pada IoT Menggunakan Recurrent Neural Network (RNN) dengan Optimasi Hyperparameter Berbasis Bayesian Optimization. Prosiding Seminar Nasional Ilmu Teknik, 2(2). https://doi.org/10.61132/prosemnasproit.v2i2.104

Muhammad Ilham Mansis; Riza Pahlevi; Ronald Naibaho; Eko Arip Winanto, "Deteksi Serangan Mirai Pada IoT Menggunakan Recurrent Neural Network (RNN) dengan Optimasi Hyperparameter Berbasis Bayesian Optimization," Prosiding Seminar Nasional Ilmu Teknik, vol. 2, no. 2, 2025.

Muhammad Ilham Mansis; Riza Pahlevi; Ronald Naibaho; Eko Arip Winanto. "Deteksi Serangan Mirai Pada IoT Menggunakan Recurrent Neural Network (RNN) dengan Optimasi Hyperparameter Berbasis Bayesian Optimization." Prosiding Seminar Nasional Ilmu Teknik, vol. 2, no. 2, 2025.

Muhammad Ilham Mansis; Riza Pahlevi; Ronald Naibaho; Eko Arip Winanto. "Deteksi Serangan Mirai Pada IoT Menggunakan Recurrent Neural Network (RNN) dengan Optimasi Hyperparameter Berbasis Bayesian Optimization." Prosiding Seminar Nasional Ilmu Teknik 2, no. 2 (2025).

Muhammad Ilham Mansis, et al. (2025) 'Deteksi Serangan Mirai Pada IoT Menggunakan Recurrent Neural Network (RNN) dengan Optimasi Hyperparameter Berbasis Bayesian Optimization', Prosiding Seminar Nasional Ilmu Teknik, 2(2). doi: 10.61132/prosemnasproit.v2i2.104.

Muhammad Ilham Mansis; Riza Pahlevi; Ronald Naibaho; Eko Arip Winanto. Deteksi Serangan Mirai Pada IoT Menggunakan Recurrent Neural Network (RNN) dengan Optimasi Hyperparameter Berbasis Bayesian Optimization. Prosiding Seminar Nasional Ilmu Teknik. 2025;2(2).

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