Skripsi

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

---

Penilaian

---

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

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2307006219	T129890	T1298902023	Central Library (Referens)	Available

Detail Information

Series Title

-

Call Number

T1298902023

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xvi, 120 hlm.; Ilus.; 21 cm

Language

ISBN/ISSN

-

Classification

005.707

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Prodi Sistem Komputer
Data dalam sistem-sistem komputer

Specific Detail Info

-

Statement of Responsibility

MURZ

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment