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Image of KLASIFIKASI SERANGAN BRUTE FORCE MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN)

Skripsi

KLASIFIKASI SERANGAN BRUTE FORCE MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN)

Putri, Bella - Personal Name;

Penilaian

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Penilaian anda saat ini :  

Brute Force is a password cracking attack against a computer security system. In launching the attack, the perpetrator uses a trial-and-error method by trying all password combinations in order to pass the authentication process. Actually, brute force is an old and simple attack method, but this type of cybercrime has a fairly high success rate and is considered very effective. That is why this attack is still popular today and is widely used by hackers to carry out their criminal acts. The method used in this research is Convolutional Neural Network (CNN). In this study, classification was carried out for 3 classes of network attacks with a composition of 50% to 80% of training data, on the parameters of learning rate, batch size, and relu activation. Based on the test results, CNN model 1 produces the best performance in classifying with 99.99% accuracy, 100% precision, 100% specificity, and 99.99% fi-score.


Availability
Inventory Code Barcode Call Number Location Status
2107004726T62424T624242021Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T624242021
Publisher
Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer., 2021
Collation
xiv, 55 hlm. : ilus. ; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.407
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Komputer
Metode Convolutional Neural Network (CNN)
Specific Detail Info
-
Statement of Responsibility
DS
Other version/related

No other version available

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  • KLASIFIKASI SERANGAN BRUTE FORCE MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN)
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