PEMBAHRUAN SISTEM DETEKSI SERANGAN PORTSCAN BERBASIS LSTM DENGAN PENGIMPLEMENTASIAN ALGORITMA UNIDRIECTIONAL LSTM (UNI-LSTM)

SEPTRIYANTI, WILDA and Heryanto, Ahmad (2023) PEMBAHRUAN SISTEM DETEKSI SERANGAN PORTSCAN BERBASIS LSTM DENGAN PENGIMPLEMENTASIAN ALGORITMA UNIDRIECTIONAL LSTM (UNI-LSTM). Undergraduate thesis, Sriwijaya University.

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Abstract

Port Scanning attacks are quite dangerous attacks, this technique can map characteristics, detect open ports and even obtain important information on a network or host to then forward to further attacks. In an effort to protect the network security system against PortScan attacks, an attack system such as an Intrusion Detection System (IDS) is needed. The method used in this research is Unidirectional LSTM, which is a type of recurrent neural network (RNN) architecture used to process sequential data, such as text, running time, or time series data. This research uses two types of attacks, namely FTP and SSH Bruteforce attacks taken from the 2018 CIC-IDS dataset. In each trial, accuracy performance values were obtained with validation results using 40% training data and 60% test data, obtaining an accuracy value of 99.50. %, validation results using 50% training data and 50% test data obtained an accuracy value of 99.57%, Keywords : PortScan Attack, Intrusion Detection System, CIC-IDS 2018 Dataset, Unidirectional Long Short Term Memory

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Serangan PortScan, Instrusion Detection Sistem, Dataset CIC-IDS 2018, Unidirectional Long Short Term Memory
Subjects:	Q Science > Q Science (General) > Q1-295 General Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Wilda Septriyanti
Date Deposited:	20 Oct 2023 06:49
Last Modified:	20 Oct 2023 06:49
URI:	http://repository.unsri.ac.id/id/eprint/129890

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