Skripsi

DETEKSI SERANGAN SMURF ATTACK MENGGUNAKAN ALGORITMA RANDOM FOREST

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This final project focuses on detecting smurf attacks to be categorized as normal data or attacks. The smurf attack data packet is an ICMP packet, so in this study the focus is on the ICMP protocol. In making the dataset taken on the local network and divided into two datasets, namely normal datasets, and attack datasets. In performing detection, using ICMP message format in order to recognize attributes that are considered as attack patterns from smurf attacks such as frame length, icmp type, icmp identifier. So that attribute is used as a parameter in the classification with the random forest algorithm. The system that has been built with the random forest algorithm produces an accuracy rate of 99.99% of training data and 99.99% of testing data.

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Availability

Detail Information

Series Title

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Call Number

T527502021

Publisher

Prodi Sistem Komputer, Fakulta : Inderalaya., 2021

Collation

x, 41 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.015 107

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Sistem Komputer
Prinsip Matematika-Algoritma Random Forest

Specific Detail Info

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Statement of Responsibility

DS

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