Makine öğrenme ve derin öğrenme teknikleri kullanan bilgisayar ağının güvenlik analizi
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this study, Intrusion Detection System (IDS) Detection System in Ad Hoc Network based on Optimized Data Mining Techniques Based on Bayesian Optimization Algorithm. The data SVM is power data mining classifier used in various fields. The Bayesian Optimization Algorithm applied to optimize the parameters of SVM to presented high accuracy. Several evaluation techniques used to prove our method results. The obtained results compared with well-known researches presented in Intrusion Detection System (IDS) Detection field.
Author
Dunya Ibrahım Mohammed Mohammed
How to Cite
Dunya Ibrahım Mohammed Mohammed (Master Thesis). Makine öğrenme ve derin öğrenme teknikleri kullanan bilgisayar ağının güvenlik analizi, 2020, Altınbaş University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Altınbaş University
- The comparison of Samuel P. Huntington's "Clash of Civilizations" and Immanuel Wallerstein's "World Systems Analysis"(2024)
- The moderating role of self-efficacy in the effect of adverse childhood experiences on parenting attitudes(2025)
- Hastane mimarisinde fraktal boyutun bilinçli etkisi: Sıcaklık ve konforun artırılması(2024)
- Design of advanced anomaly detection system based on hybrid machine learning technique with optimized feature selection in wireless sensor network(2025)
- Kanser tedavisi amaçlı nano parçacıkların sentezi ve değerlendirilmesi(2025)
- Altı uzay öğrenme tabanlı tek sınıf sınıflandırma kullanılarak optimize edilmiş bir kötü amaçlı yazılım tespit tekniği(2023)
