Systematic Literature Review: Teknik Deteksi Serangan Siber Berbasis AI dan Data Mining
DOI:
https://doi.org/10.71282/at-taklim.v2i2.151Keywords:
Cyber Attack Detection, Artificial Intelligence, Data Mining, Machine LearningAbstract
Cyber attack detection is one of the main challenges in ensuring information security in the digital era. With the increasing complexity and frequency of attacks, techniques based on artificial intelligence (AI) and data mining have become effective solutions for quickly and accurately identifying threats. This paper reviews various cyber attack detection techniques utilizing AI and data mining, including machine learning, neural networks, deep learning, and data mining techniques such as clustering, classification, and anomaly detection. The study also discusses the strengths and weaknesses of each technique, as well as trends and challenges in their real-world implementation. The results of the literature review indicate that the combination of AI and data mining techniques can offer a more effective and adaptive solution to the evolving cyber threats.
Downloads
References
Alfarizi, M., & Nugroho, R. (2020). Deteksi serangan siber menggunakan teknik pembelajaran mesin. Jurnal Teknologi Informasi dan Komunikasi, 9(1), 45-57.
Arifin, Z., & Putra, A. (2021). Penerapan metode data mining dalam deteksi serangan jaringan. Jurnal Sistem Informasi, 17(2), 142-156.
Hadi, A., & Widodo, S. (2022). Analisis serangan siber menggunakan algoritma deep learning. Jurnal Keamanan Siber, 5(3), 234-249.
Kurniawan, D., & Purnomo, A. (2020). Aplikasi machine learning dalam deteksi serangan siber pada sistem komputer. Jurnal Teknologi Komputer, 14(2), 67-80.
Lestari, D., & Santosa, B. (2019). Perbandingan teknik deteksi serangan siber berbasis AI dan data mining. Jurnal Keamanan Jaringan, 12(1), 33-47.
Mulyadi, A., & Junaedi, H. (2021). Penerapan teknik anomaly detection untuk deteksi serangan DDoS menggunakan metode data mining. Jurnal Ilmu Komputer dan Informatika, 18(4), 89-101.
Nugraha, A., & Harsono, B. (2020). Evaluasi penggunaan algoritma klasifikasi dalam deteksi malware berbasis machine learning. Jurnal Keamanan Sistem Informasi, 6(3), 210-224.
Prasetyo, E., & Widodo, P. (2021). Teknik deep learning untuk mendeteksi serangan siber: Tinjauan dan tantangan. Jurnal Teknologi dan Keamanan, 19(1), 112-128.
Putra, D., & Suhartono, M. (2022). Analisis penggunaan data mining untuk mendeteksi serangan phishing pada sistem informasi. Jurnal Teknologi dan Sistem Informasi, 15(3), 199-210.
Sari, R., & Kurniawan, H. (2020). Penerapan jaringan syaraf tiruan dalam deteksi serangan siber berbasis AI. Jurnal Teknik Komputer, 13(2), 99-114.
Setiawan, A., & Asmara, P. (2021). Studi literatur tentang penerapan machine learning dalam deteksi serangan pada jaringan komputer. Jurnal Ilmiah Komputer dan Teknologi, 9(3), 75-88.
Widianto, R., & Yuliana, M. (2020). Pemanfaatan big data untuk mendeteksi serangan siber menggunakan metode data mining. Jurnal Komputer dan Jaringan, 11(2), 145-160.
Yulianto, T., & Hidayat, R. (2022). Penggunaan AI dalam deteksi serangan berbasis botnet di jaringan komputer. Jurnal Keamanan Sistem dan Teknologi, 7(4), 310-324.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Risqa Taufik (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
