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All Journal JURNAL ANATOMI FISIOLOGI PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Surya Medika Animal Production : Indonesian Journal of Animal Production Insect (Informatics and Security) : Jurnal Teknik Informatika KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer NUCLEUS: Jurnal Sains dan Teknologi Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Sains Teknologi dan Sistem Informasi Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Sugiyatno Sugiyatno
Lab. BSF Tumbuhan, Jurusan Biologi, FSM, Undip Semarang
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Physics Public Health Social Sciences Veterinary

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Journal : Jurnal Sains Teknologi dan Sistem Informasi

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Efektivitas Honeynet dalam Mendeteksi Serangan Siber Sugiyatno, Sugiyatno; Didik Setiyadi
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): April 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v4i1.2658

Abstract

Various cyberattack threats are sophisticated and reliable detection approaches, as complex and rampant as they are. One outstanding approach is the use of Honeynet, a network simulator that simulates real networks for analysis and detection purposes. This study aims to compare the effectiveness of Honeynet in detecting spyware with alternative detection methods. We conducted experiments where we implemented Honeynet in a simulated network environment that breaks the real network infrastructure. Other detection methods we reference include intrusion detection systems (IDS) based on hands and behaviour. In addition, we also analysed the types of spam most frequently detected by Honeynet. We can identify the most common trends and their characteristics by analysing the attack test results. The research findings show that Honeynet is very effective in detecting certain cyberattacks, especially zero-day attacks and attacks that use new methods that have not been detected by known signatures. However, we also found that behaviour-based detection methods tend to be more effective in detecting attacks that are novel and unexpected
Co-Authors Afri Wahyuningsih Akmalullah, Farigh Mukhlashin CH Soenarjo, CH Dadang M Saleh, Dadang M Dadang Mulyadi Saleh Didik Setiyadi DM Saleh, DM Erma Prihastanti Fata Nidaul Khasanah Fathurrozi , Ahmad Haryati Haryati Herlawati Herlawati Ibrahim Fikma Edrisy Juliano, Aryo M Pangestu, M MS Sumaryadi, MS Munifatul Izzati Noviar Harun Prabandari, Rosiana Disiati Prima Dina Atika Purnomo , Rakhmat Rachmawati W Siswadi, Rachmawati W Rafika Sari Rahmadya Trias Handayanto Rasim, Rasim RW Siswadi, RW S Mugiyono, S Seta Samsiana Sidiq, Purnomo SJA Setyawati, SJA Suroso, Amat Sutarmo Sutarmo, Sutarmo Taswin R Tagama, Taswin R