Penggunaan Model Support Vector Machine (SVM) untuk Pendeteksian Serangan Mirai Botnet Pada Perangkat Internet of Things (IoT)
REVALDI GILANG AZHARI
Informasi Umum
Kode
23.04.1480
Klasifikasi
621.389 28 - Security Electronics
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Cyber Security, Securities-investment, Securities Analysis,
Dilihat
601 kali
Informasi Lainnya
Abstraksi
<p>There are various types of attacks on IoT devices, one of which is Mirai botnet that attacks a number of IoT devices such as web cameras, security cameras, and routers. Even it has caused internet downtime for the users in Europe and North America. Hence, it is deemed necessary to have a system to detect Mirai botnet attack using the Support Vector Machine (SVM) model. This model becomes a solution to detect Mirai botnet attacks for having good generalization performance when the parameter is properly configured in modeling the training set (training dataset) and getting good classification results without a lot of training data. The results of the analysis from the use of the SVM model showed the accuracy of 92.91% with a linear kernel and maxiter 10000. Also, the performance of the Support Vector Machine (SVM) model based on the precision parameter obtained a value of 94.13% with maxiter 10000 and the recall parameter resulted in a value of 91.10% with max_iter 10000. </p>
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Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | REVALDI GILANG AZHARI |
| Jenis | Perorangan |
| Penyunting | Vera Suryani, Rizka Reza Pahlevi |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
