lisda aulia, rahmi (2022) IDENTIFIKASI SERANGAN DDOS PADA JARINGAN KOMPUTER MENGGUNAKAN ALGORITMA ARTIFICIAL NEURAL NETWORK (ANN). S1 Teknik Informatika thesis, STMIK Widya Cipta Dharma.
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Abstract
Lisda Aulia Rahmi, 2022, Identifikasi Serangan DDoS Pada Jaringan Komputer Menggunakan Algoritma Artificial Neural Network (ANN). Skripsi jurusan Teknik Informatika, Sekolah Tinggi Manajemen Informatika dan Komputer Widya Cipta Dharma, Pembimbing Utama Pitrasacha Adytia, S.T. Pembimbing Kedua Wahyuni S.Kom M.Kom., Kata kunci: DDoS (distributed denial of service), Python, Artificial Neural Network, Machine Learning. DDOS (Distribute Denial of Service) merupakan jenis serangan yang terstruktur, Serangan ini telah ada sejak tahun 1990. Serangan DDoS mampu melumpuhkan server dengan membanjiri lalu lintas jaringan dan mengakibatkan down. Untuk mengatasi masalah tersebut, cara mendeteksi serangan DDoS memiliki beberapa metode dan algoritma, salah satunya algoritma Artificial Neural Network dan memakai metode Machine learning dikarenakan proses komputasi yang cepat, akurasi yang tinggi, dan penelitian ini menggunakan metode penelitian SKKNI Nomor 299 Tahun 2020. Analisis dilakukan menggunakan data latih dari dataset terbaru yaitu CICIDS2017 yang merupakan pengembangan dari dataset yang sudah ada sebelumnya. Pengujian deteksi serangan DDoS menggunakan metode confusion matrix didapatkan Bot precision nya 0.99 recall 0.99, dan f1score 0.99, 3. ============================================================== Lisda Aulia Rahmi, 2022, Identification of DDoS Attacks on Computer Networks Using Artificial Neural Network (ANN) Algorithms. Thesis majoring in Informatics Engineering, Widya Cipta Dharma College of Informatics and Computer Management, Main Supervisor Pitrasacha Adytia, S.T. Second Supervisor Wahyuni S.Kom M.Kom., Keywords: DDoS (distributed denial of service), Python, Artificial Neural Network, Machine Learning. DDOS (Distribute Denial of Service) is a type of structured attack, this attack has been around since 1990. DDoS attacks are able to paralyze servers by flooding network traffic and causing down. To overcome this problem, how to detect DDoS attacks has several methods and algorithms, one of which is the Artificial Neural Network algorithm and uses the Machine learning method due to the fast computational process, high accuracy, and this research uses the SKKNI research method No. 299 of 2020. The analysis was carried out using training data from the latest dataset, namely CICIDS2017 which is a development of a pre-existing dataset. Testing the detection of DDoS attacks using the confusion matrix method obtained Bot precision 0.99 recall 0.99, and f1score 0.99, 3.
| Item Type: | Thesis (S1 Teknik Informatika) |
|---|---|
| Additional Information: | Pembimbing I : Bapak Pitrasacha Adytia, S.T., M.T., Pembimbing II : Ibu Wahyuni, S.Kom., M.Kom, |
| Uncontrolled Keywords: | DDoS (distributed denial of service), Python, Artificial Neural Network, Machine Learning. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Teknik Informatika |
| Depositing User: | Lisda Aulia Rahmi |
| Date Deposited: | 19 Aug 2022 01:25 |
| Last Modified: | 19 Aug 2022 01:25 |
| URI: | http://repository.wicida.ac.id/id/eprint/4416 |
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