IMPLEMENTASI DAN ANALISIS HONEYPOT BERBASIS COWRIE UNTUK MENDETEKSI SERANGAN SIBER

Authors

  • Dhafin Universitas Sultan Ageng Tirtayasa
  • Wahyu Universitas Sultan Ageng Tirtayasa
  • Voully Abdullah Zhacque Universitas Sultan Ageng Tirtayasa

DOI:

https://doi.org/10.46880/mtk.v11i1.3728

Keywords:

Honeypot, Cybersecurity, Cowrie, SSH

Abstract

The use of the internet in Indonesia has grown rapidly. The Indonesian Internet Service Providers Association (APJII) reported that the number of internet users in Indonesia reached 221,563,479 people in 2024, out of the total population. However, as the number of internet users increases, so do the threats that endanger them. Cybersecurity threats continue to evolve alongside the complexity and sophistication of technologies employed by cybercriminals. In addition to building robust security systems, it is equally important to understand the methods used by attackers to design more effective defense strategies. This is where the concept of honeypots comes into play. A honeypot is a security system designed to mimic vulnerable targets, thereby attracting attackers and revealing the tactics, techniques, and procedures they use. One of the most widely used honeypots is Cowrie. This study utilizes Cowrie as an SSH honeypot to be tested against brute force attacks using Hydra. The results show that Hydra successfully identified 15 username and password combinations from the pre-configured Cowrie system.

References

Analisis Kinerja Honeypot Dionaea Dan Cowrie Dalam Mendeteksi Serangan. (2021). Prosiding Seminar Nasional Teknoka, 6, 170-178. https://journal.uhamka.ac.id/index.php/teknoka/article/view/10276

Asosiasi Penyelenggara Jasa Internet Indonesia. (2024, February 7). Jumlah Pengguna Internet Indonesia Tembus 221 Juta Orang. Asosiasi Penyelenggara Jasa Internet Indonesia. Retrieved December 16, 2024, from https://apjii.or.id/berita/d/apjii-jumlah-pengguna-internet-indonesia-tembus-221-juta-orang

Ernawati, T., & Rachmat, F. F. F. (2021, February 28). Keamanan Jaringan dengan Cowrie Honeypot dan Snort Inline-Mode sebagai Intrusion Prevention System. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 5(1), 180-186. https://doi.org/10.29207/resti.v5i1.2825

Fikrie, M. (2024, August 28). Serangan Siber ke RI Naik 6 Kali Lipat pada H1 2024, Mayoritas dari Dalam Negeri. Kumparan. Retrieved December 16, 2024, from https://kumparan.com/kumparantech/serangan-siber-ke-ri-naik-6-kali-lipat-pada-h1-2024-mayoritas-dari-dalam-negeri-23PnYQpafrf

Natanegara, T., Muhyidin, Y., & Singasatia, D. (2023, November 24). IMPLEMENTASI HONEYPOT COWRIE DAN SNORT SEBAGAI ALAT DETEKSI SERANGAN PADA SERVER. Jurnal Mahasiswa Teknik Informatika (JATI)), 7(3), 1871-1877. https://doi.org/10.36040/jati.v7i3.6989

Downloads

Published

10-03-2025

How to Cite

[1]
D. R. Aulia, W. A. Rahman, and V. A. Zhacque, “IMPLEMENTASI DAN ANALISIS HONEYPOT BERBASIS COWRIE UNTUK MENDETEKSI SERANGAN SIBER”, METHODIKA, vol. 11, no. 1, pp. 35–39, Mar. 2025.