INTEGRASI INTRUSION DETECTION SYSTEM (IDS) TERDISTRIBUSI DENGAN MENGGUNAKAN FRAMEWORK ELT PADA MULTISOURCE DATA FUSION

ARRIFQI, MUHAMMAD AGIL and Heryanto, Ahmad (2025) INTEGRASI INTRUSION DETECTION SYSTEM (IDS) TERDISTRIBUSI DENGAN MENGGUNAKAN FRAMEWORK ELT PADA MULTISOURCE DATA FUSION. Undergraduate thesis, Sriwijaya University.

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Abstract

Intrusion Detection System (IDS) is a tool designed to detect suspicious activities or security threats within a computer network. This study focuses on developing a distributed IDS framework using Multisource Data Fusion to enhance the detection of ICMP, SSH, and Ping of Death attacks. The framework integrates logs and alerts from multiple IDS machines, with Snort as the primary tool. The results show that the framework achieves 97.31 % accuracy, generating 610,288 logs and 382,770 alerts, with an attack distribution of 42.8% ICMP Flood, 42.6% Ping of Death, and 14% SSH. IDS 3 proved to be the most effective, recording 252,038 ICMP packets, 253,825 Ping of Death packets, and 83,416 SSH packets. This framework effectively improves the efficiency and accuracy of attack detection and can serve as a reference for developing more robust network security systems.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Intrusion Detection System (IDS), Multisource Data Fusion, Snort, Keamanan Jaringan, Deteksi Serangan
Subjects:	Q Science > Q Science (General) > Q1-390 Science (General) > Q223.M517 Science -- Information services. Information storage and retrieval systems --Science. Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad Agil Arrifqi
Date Deposited:	24 Mar 2025 05:58
Last Modified:	24 Mar 2025 05:58
URI:	http://repository.unsri.ac.id/id/eprint/169477

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