Skripsi

DETEKSI TRANSAKSI ANOMALI PADA BLOCKCHAIN DENGAN MENGGUNAKAN METODE DEEP NEURAL NETWORK (DNN). 

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Penilaian

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Blockchain is a digital data bank that stores transaction data transparently. With so much interest in bitcoin, making bitcoin wallets are an attractive target for hackers. This research uses the Deep Neural Network (DNN). The dataset consists of 13 columns, 30,246,808 normal transactions and 1,326 anomalous transactions. The dataset is balanced by oversampling and undersampling techniques. The model with the best dataset ratio obtained achieved an accuracy of 84.43%. Then it was evaluated using k-fold to determine the consistency of the model in detecting and an average accuracy of 94.75% was obtained, which shows that the model has quite consistent performance.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307006724	T130854	T1308542023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T1308542023

Publisher

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

Collation

xiii, 60 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.707

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Sistem Komputer
Data dalam sistem-sistem komputer

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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