DETEKSI DAN ANALISIS SERANGAN DDOS MENGGUNAKAN WIRESHARK DAN SNORT

KAHFI, ALBILAL (2024) DETEKSI DAN ANALISIS SERANGAN DDOS MENGGUNAKAN WIRESHARK DAN SNORT. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Detection and Analysis of DDoS Attacks Using Wireshark and Snort, This study aims to detect and analyze DDoS (Distributed Denial of Service) attacks using Wireshark and Snort tools. In the context of network security, DDoS attacks represent a serious threat that can cause significant disruptions to network infrastructure. The study was conducted by designing and implementing a DDoS attack scenario to monitor the effectiveness of Wireshark and Snort in detecting attack patterns. The results show that both tools are capable of accurately identifying the characteristics and patterns of DDoS attacks. Wireshark demonstrated its capability in capturing and analyzing suspicious data packets, while Snort proved effective in providing early warnings about detected suspicious activities. By utilizing this method, network administrators can gain better insights into the nature of attacks and develop more effective mitigation strategies. This study makes a significant contribution to the development of more advanced and reliable intrusion detection systems to enhance computer network security. Keywords: DDoS, Network Security, Wireshark, Snort, Attack Detection. Deteksi dan Analisis Serangan DDoS Menggunakan Wireshark dan Snort, Penelitian ini bertujuan untuk mendeteksi dan menganalisis serangan DDoS (Distributed Denial of Service) menggunakan alat Wireshark dan Snort. Dalam konteks keamanan jaringan, serangan DDoS merupakan ancaman serius yang dapat menyebabkan gangguan signifikan pada infrastruktur jaringan. Penelitian ini dilakukan dengan merancang dan mengimplementasikan skenario serangan DDoS untuk memantau efektivitas Wireshark dan Snort dalam mendeteksi pola serangan. Hasil penelitian menunjukkan bahwa kedua alat tersebut mampu mengidentifikasi karakteristik dan pola serangan DDoS dengan akurasi yang tinggi. Wireshark menunjukkan kemampuannya dalam menangkap dan menganalisis paket data yang mencurigakan, sementara Snort efektif dalam memberikan peringatan dini tentang aktivitas mencurigakan yang terdeteksi. Dengan menggunakan metode ini, administrator jaringan dapat memperoleh wawasan yang lebih baik tentang sifat serangan dan mengembangkan strategi mitigasi yang lebih efektif. Penelitian ini memberikan kontribusi penting dalam pengembangan sistem deteksi intrusi yang lebih canggih dan dapat diandalkan untuk meningkatkan keamanan jaringan komputer. Kata Kunci: DDoS, Keamanan Jaringan, Wireshark, Snort, Deteksi Serangan

Item Type:	Thesis (S1)
Call Number CD:	FIK/INFO. 24 189
Call Number:	SIK/15/24/137
NIM/NIDN Creators:	41520010008
Uncontrolled Keywords:	DDoS, Keamanan Jaringan, Wireshark, Snort, Deteksi Serangan
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.7 Data in Computer Systems/Data dalam Sistem-sistem Komputer > 005.75 Specific Types of Data Files and Databases/Jenis Spesifik File Data dan Pangakalan Data > 005.754 Network Databases/Pangakalan Data Jaringan 700 Arts/Seni, Seni Rupa, Kesenian > 700. Arts/Seni, Seni Rupa, Kesenian > 702 Miscellany of Fine and Decorative Art/Aneka Ragam tentang Kesenian, Aneka Ragam tentang Karya Seni > 702.8 Techniques, Precedures, Apparatus, Equipment, Materials/Teknik, Prosedur, Perlengkapan, Peralatan, Bahan > 702.89 Safety Measures/Keamanan
Divisions:	Fakultas Ilmu Komputer > Informatika
Depositing User:	khalimah
Date Deposited:	03 Sep 2024 03:18
Last Modified:	03 Sep 2024 03:18
URI:	http://repository.mercubuana.ac.id/id/eprint/91072

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