Image of DETEKSI SERANGAN DENIAL OF SERVICE (DOS) PADA PROTOCOL JARINGAN IEC 61850 SUPERVISORY CONTROL AND DATA ACQUISITION (SCADA) DENGAN MENGGUNAKAN METODE DEEP NEURAL NETWORK (DNN)

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DETEKSI SERANGAN DENIAL OF SERVICE (DOS) PADA PROTOCOL JARINGAN IEC 61850 SUPERVISORY CONTROL AND DATA ACQUISITION (SCADA) DENGAN MENGGUNAKAN METODE DEEP NEURAL NETWORK (DNN)

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DoS attack detection is important because SCADA networks are used in large companies, making them vulnerable to attack. In this research, the deep neural network (DNN) method is used to detect DoS attacks in the dataset. The dataset used in this study is the IEC61850SecurityDataset in 2019 which contains GOOSE protocol data on SCADA networks that have been contaminated with DoS. The dataset is balanced using the oversampling technique. The model shows unsatisfactory results at a data ratio of 70:30 and gets satisfactory results at a data ratio of 80:20, with an accuracy of 96.75%, precision 100%, recall 93.46 and f1 score 96.62%. These results can show that the model has consistent and reliable performance in the detection task.

Availability
Inventory Code Barcode Call Number Location Status
2407003618T146030T1460302024Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1460302024
Publisher
Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer.,
Collation
xiii, 42 hlm.; tab.; illus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
006.307
Content Type
Text
Media Type
unmediated
Carrier Type
unspecified
Edition
-
Subject(s)
Prodi Sistem Komputer
Deteksi Serangan
Specific Detail Info
-
Statement of Responsibility
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No other version available

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