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Analisis traffic serangan pada intrusion detection system dan honeynet = Attacks traffic analysis of intrusion detection system and honeynet

Yulian Benedichtus; Muhammad Salman, supervisor; Anak Agung Putri Ratna, examiner; Dodi Sudiana, examiner (Fakultas Teknik Universitas Indonesia, 2016)

 Abstract

Skripsi ini membahas tentang analisis lalu lintas serangan pada Intrusion Detection System (Snort) dan Honeynet. Pembahasan mencakup analisis lalu lintas serangan berdasarkan tingkat berbahaya suatu serangan, analisis port yang menjadi target serangan, analisis metoda serangan, analisis sepuluh malware terbanyak yang terdeteksi oleh Honeynet, analisis sepuluh port terbanyak yang menjadi target serangan, analisis relasi antara malware dan port yang menjadi target serangan. Penentuan analisis ini berdasarkan diambil pada bulan desember 2015.
Dari analisis tersebut, diperoleh bahwa kategori severity terbanyak pada serangan berdasarkan severity, port yang menjadi target serangan terbanyak, metoda serangan terbanyak, malware yang paling banyak terdeteksi dan relasi antara malware dan port. Semua hasil ini memiliki penyebabnya masing-masing.

The focus of study is about attacks traffic analysis of intrusion detection system (Snort) and Honeynet. The discussion include attack traffic analysis based severity, port analysis which became target of the attack, attack method analysis, analyzes ten malware most detected by honeynet, analyzes ten port which became target of the attack, the analysis of relation between malware and port. The determination of this analysis is took in December 2015.
The result of this analysis is the most severity category based severity attack, the port which became target of the attack, the most attack method, malware most detected and relation between malware and port. All of this result have cause each.

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 Metadata

Collection Type : UI - Skripsi Membership
Call Number : S63638
Main entry-Personal name :
Additional entry-Personal name :
Study Program :
Subject :
Publishing : Depok: Fakultas Teknik Universitas Indonesia, 2016
Cataloguing Source LibUI ind rda
Content Type text
Media Type unmediated ; computer
Carrier Type volume ; online resource
Physical Description xi, 46 pages ; illustration ; 29 cm + appendix
Concise Text
Holding Institution Universitas Indonesia
Location
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  • Review
  • Cover
Call Number Barcode Number Availability
S63638 14-18-101904535 TERSEDIA
Review:
No review available for this collection: 20430428
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