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SISTEM PENDETEKSI SERANGAN BRUTEFORCE DENGAN INTRUSION DETECTION SYSTEM (IDS) MENGGUNAKAN METODE LSTM (LONG SHORT TERM MEMORY)

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Penilaian

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Bruteforce is a password cracking attack against a computer security system by sending repeated combinations of numbers, letters, and different symbols. Bruteforce attack is actually an old attack method and also quite simple, but this type of attack has a fairly high success rate and is considered very effective. that's why this attack is still popular today and is widely used by hackers to carry out criminal acts. The method used in this research is Long Short Term Memory (LSTM). The advantage of LSTM is that it can maintain errors that occur when doing backpropagation so that it does not allow the loss of training to increase. In this study, detection for 2 classes of FTP and SSH Bruteforce attacks with validation results from 10% to 90% of training data, on the parameters of the number of layers and nodes, activation of tanh and softmax, learning rate, batch size, optimizer function, and loss. based on the tests that have been carried out, the best results are obtained with an accuracy rate of 99,995, 100% precision, 99,9984% specificity, 99,9992% precision, and 99,9996% F1-Score.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207002257	T74306	T743062022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T743062022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

viii, 44 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

003.107

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Sistem Komputer
Identifikasi Sistem

Specific Detail Info

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Statement of Responsibility

SEPTA

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