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Image of DETEKSI SERANGAN SMURF ATTACK MENGGUNAKAN ALGORITMA RANDOM FOREST

Skripsi

DETEKSI SERANGAN SMURF ATTACK MENGGUNAKAN ALGORITMA RANDOM FOREST

Arief, Muhammad - Personal Name;

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Penilaian anda saat ini :  

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.


Availability
Inventory Code Barcode Call Number Location Status
2107004743T52750T527502021Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T527502021
Publisher
Prodi Sistem Komputer, Fakulta : Inderalaya., 2021
Collation
x, 41 hlm. : ilus. ; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.015 107
Content Type
Text
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Komputer
Prinsip Matematika-Algoritma Random Forest
Specific Detail Info
-
Statement of Responsibility
DS
Other version/related

No other version available

File Attachment
  • DETEKSI SERANGAN SMURF ATTACK MENGGUNAKAN ALGORITMA RANDOM FOREST
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