PENGENALAN POLA SERANGAN BRUTE FORCE PADA CLOUD PUBLIC DENGAN MENGGUNAKAN METODE REGULAR EXPRESSION (REGEX)

SUTEDJA, YEN MEY and Stiawan, Deris and Heryanto, Ahmad (2020) PENGENALAN POLA SERANGAN BRUTE FORCE PADA CLOUD PUBLIC DENGAN MENGGUNAKAN METODE REGULAR EXPRESSION (REGEX). Undergraduate thesis, Sriwijaya University.

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Abstract

Brute Force is an attack carried out to crack passwords obtained from a set of passwords (wordlist) and will choose the right password to carry out such an attack. This research will present a regular expression method for an attack pattern. In the first step, the data will perform a data analysis manually by observing existing data, they will perform a rule experiment for an observed manual attack pattern. Then, it will be detected using the Snort Intrusion Detection System (IDS) to find out whether there is an attack in a public cloud. Furthermore, once detected, a separation of attack data or normal data will be carried out. In the last stage, pattern recognition will be carried out by using python coding using the regular expression (regex) method using the available rules in the extracted features. The dataset used in this study is the Brute Force Attack dataset. The proposed method allows for faster implementation and also achieves higher accuracy. In this case, the average value for the Brute Force A Attack dataset is 99% accuracy, 100% precision, 99% recall, and 100% f1 score. Compared to the DARPA 2000 dataset which only gets 91.5% accuracy. Based on these studies and results, it means that this method can be proposed and has higher accuracy in an attack pattern recognition study

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Brute Force, Regular Expression (regex), Pola Serangan, DARPA 2000
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.A25 Computer security. Systems and Data Security.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 9800 not found.
Date Deposited:	12 Jan 2021 08:36
Last Modified:	12 Jan 2021 08:36
URI:	http://repository.unsri.ac.id/id/eprint/39843

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