Klasifikasi Serangan Ddos Ping Of Death Menggunakan Metode Fuzzy Tsukamoto

Muhammad, Adam Hawari (2020) Klasifikasi Serangan Ddos Ping Of Death Menggunakan Metode Fuzzy Tsukamoto. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

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Abstract

In the current era of information technology development, internet services still have problems for hackers to attack, with the DDOS Ping of Death attack technique where several computers apply attacks to database servers and File Transfer Protocol (FTP). DDOS Ping of Death with a mechanism that is basically the same as DOS Ping of Death but has a much bigger impact than DOS Ping Of Death. The Ping of Death DDOS attack has a bigger effect on computer networks. With intensive simulation to analyze the performance of the network designed against these attacks and investigate how to reduce the impact of these attacks. In this research, the classification of attack detection continues to be carried out so as to find a method for classifying DDOS Ping of death attack data using the Fuzzy Tsukamoto method, which is a consequence of IF-THEN-shaped rules to be represented by a Fuzzy set with a membership function. In Fuzzy Tsukamoto, there are also several steps to produce precise information such as Fuzzyfication, Interference and Defuzzyfication. In this research, Fuzzy Tsukamoto will be implemented on a desktop-based computer system with the Python programming language. In addition, the Fuzzy Tsukamoto algorithm will be measured for accuracy using a conffusion matrix. The results of this study indicate that using the Fuzzy Tsukamoto method can classify 12 rules to detect attacks. This study uses 2 datasets on DDOS Ping of Death and normal attacks. After that the results of the two datasets were tested 20 times for the normal dataset and 21 times for the DDOS Ping of Death dataset by measuring the accuracy of the Fuzzy Tsukamoto algorithm using a conffusion matrix. The results of this study indicate that Fuzzy Tsukamoto's algorithm has 100% accuracy in the classification of attack detection. This proves that these 12 rules are good enough in classifying attacks. Keyword: DDOS, Fuzzy, Ping of Death, Tsukamoto, Conffusion Matrix

Item Type: Thesis (Undergraduate Thesis)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Industrial Engineering and Informatics > Informatics Engineering
Depositing User: pustakawan ittp
Date Deposited: 09 Jun 2021 02:17
Last Modified: 09 Jun 2021 02:17
URI: http://repository.ittelkom-pwt.ac.id/id/eprint/6039

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