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DETEKSI SERANGAN BRUTE FORCE MENGGUNAKAN METODE BIDIRECTIONAL RECURRENT NEURAL NETWORKS

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Penilaian

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Brute Force Attack is an attack that targets private information such as usernames, passwords, passphrases and other information. Brute force attack sends combinations continuously in the form of different numbers, letters or symbols, until it gets the right combination so that it can access the protected data. Brute force attack tries to break credential information that is valuable for attackers. The algorithms that are often used in these systems are CNN , Naïve Bayes , SVM , KNN , Decision Tree, Logistic Regression, Random Forest, K-Means, Gradient Bossting, Dimensionality Reduction , Based on the CNN algorithm and brutefoce attack detection, said that the weakness of the cnn method is in the paper, presenting a new framework that integrates local cnn and global cnn both of which are based on the results of the study showing that the CNN-based model is superior to traditional machine learning methods with an accuracy of 94.3%, a precision rate of 92.5%, 97.8% recall rate and 91.8% F1-score in terms of the ability to detect SSH-Brute Froce. forced attack. After a comparative analysis of various classifier models, it was found that the Naive Bayes classifier is very suitable for image classification from its features, many related studies say that the RNN algorithm can overcome the problem that the bi-directional rnn method can solve faster by iteratively so that results emerge the best in the data studied.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000096	T85596	T855962023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T855962023

Publisher

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

Collation

viii, 70 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.307

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)

Sistem Pakar
Jurusan Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

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