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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507001949	T169477	T1694772025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1694772025

Publisher

: Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xii, M-3 hlm. : ilus. ; tab. ; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

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Media Type

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Carrier Type

-

Edition

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Subject(s)

Ilmu Komputer

Specific Detail Info

2507001949

Statement of Responsibility

EM

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