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Nur Syamsiyah
Alumi Prodi Agroekoteknologi Fakultas Pertanian Universitas Trunojoyo
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Deteksi Serangan Brute Force SSH Menggunakan Klasifikasi Naïve Bayes pada Log Cowrie Honeypot di Lingkungan Virtual Prasetyo, Arya Adhari; Herianto; Yahya; Syamsiyah, Nur
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.88

Abstract

The increasing number of brute force cyberattacks targeting SSH services highlights the urgent need for effective early detection and mitigation systems. This study aims to analyze brute force attack patterns using the Naïve Bayes classification algorithm based on log data generated by the Cowrie Honeypot. A simulated virtual environment was developed to emulate attack scenarios and generate authentic SSH log data while preserving real server confidentiality. The system architecture follows the CRISP-DM framework, including data preprocessing, model development, evaluation, and deployment. Evaluation using confusion matrix metrics showed that the Naïve Bayes algorithm successfully distinguished brute force attempts from normal traffic with high accuracy, precision, recall, and F1-score. The findings confirm the potential of combining Cowrie honeypot data with machine learning classifiers as an early warning tool for intrusion detection in enterprise network infrastructures.
Deteksi Serangan Brute Force SSH Menggunakan Klasifikasi Naïve Bayes pada Log Cowrie Honeypot di Lingkungan Virtual Prasetyo, Arya Adhari; Herianto; Yahya; Syamsiyah, Nur
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.88

Abstract

The increasing number of brute force cyberattacks targeting SSH services highlights the urgent need for effective early detection and mitigation systems. This study aims to analyze brute force attack patterns using the Naïve Bayes classification algorithm based on log data generated by the Cowrie Honeypot. A simulated virtual environment was developed to emulate attack scenarios and generate authentic SSH log data while preserving real server confidentiality. The system architecture follows the CRISP-DM framework, including data preprocessing, model development, evaluation, and deployment. Evaluation using confusion matrix metrics showed that the Naïve Bayes algorithm successfully distinguished brute force attempts from normal traffic with high accuracy, precision, recall, and F1-score. The findings confirm the potential of combining Cowrie honeypot data with machine learning classifiers as an early warning tool for intrusion detection in enterprise network infrastructures.
Co-Authors Afifa, Linda Nur Agriani Hermita Sadeli Ahmad Febriansyah Ahmad Thoriq Aini, Intan Nur Aisyah, Nisa Alifia, Salma Ambarwati, Inez Hasna Andri Hardiyana, Andri Annana, Santi Sih Anne Charina Anugrah, Risen Anugrah, Risen apridasari, esty Astuti, Eka Yuni Aulia, Nabila Azhima, Lifa Budi Utomo DARSONO Dewi Astuti Diasasari, Anita Dirohmat, Yogia Mugi Dwi Putri, Sri Wahyuni Dzihni Kharisma, Laily Efriani, Like Eka Purna Yudha Eka Yuni Astuty Eliana Wulandari Elly Rasmikayati Endah Djuwendah Endang Ayu Susilawati Eti Suminartika Eva Novianti Faiz, Akhmad Fajar Urifan, Mohammad Fasyah, Sandhy Rizqy Faujiah, Sifa Femei Purnamasari, Femei Firllyanka, Jesica Fitriyah ZA, Mahmudah Ganjar Kurnia Gita Prawesti Grace, Fanesa Hafidz, Rheina Hakim, Muhammad Naufal Hepi Hapsari Herianto Husen Asbanu Ikit Indriani, Agustina Intana Rahmah, Rizkah Isniah, Sarah Iswari, Intan Iwan Setiawan Juan Pratama Karnaji, Karnaji Kurniadi, Danang Kusuma Hati, Kusuma Kuswarini Kusno Larasati, Farah Leksono, Robertus Pujo Lianawati, Ayong Mahra Arari Heryanto Mardjaningrat, Radina Masyhurly, M.A.S Fathul Mubin Al- Mawardi, Rafi Aufa Maystaladika, Maystaladika Ma’rifatulloh, Sayid Mira Febriana Sesunan Muhammad Arief Budiman Muharam, Fauzan Emeraldi Rena Muji Bagus Triyana Nur Hasanah Nur Ismawati, Nur Nurfadhila, Tsalsa Nurjanah, Indah Kartika Pamungkas , Petrus Dwi Ananto Pandi Pardian Panjaitan, Muhammad Martian Ardiansyah Prasetiyowati, Tri Prasetyo, Arya Adhari Prasetyo, Ratna Azis Rahmadani*, Regita Oktiana Rahmawati, Fani Rahmayanti, Anisah Ramadhina, Ratu Rizki Renfiana, Lilis Rizaldi, Rizqika Azahra Rizky Mulya Sampurno Rohmi, Misfi Laili Roihanah, Athiyyah Nur Safitra, Diva Sandi, Muhammad Alfi Rosma Sara Ratna Qanti Sarachehan, Firda Savira, Pingkan Sekar Septiyani, Linda Setiawan, Ifan Simangunsong, Rezkia Theresia Situmorang, Christina Verawaty Sri Widiyanesti Supriyatna, Ade Syifa, Hanna Maulida Tangim, Ernah Tiolina Evi Tri Sulistiani Tuti Karyani Ulfah, Mariam Valeri, Eirene Wiradisuria, Ranendra Kreshnatama Yahya Yahya Yahya Yahya, Yahya - Yudhistira Ardana Yudhistira Ardana, Yudhistira Yuyun Yunarti Zumi Saidah