Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107004726	T62424	T624242021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T624242021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer., 2021

Collation

xiv, 55 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.407

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Sistem Komputer
Metode Convolutional Neural Network (CNN)

Specific Detail Info

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Statement of Responsibility

DS

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