In-Depth Network Traffic Analysis using Machine Learning Perspective: Characterization and Classification
This study provides an in-depth exploration of Network Traffic Analysis (NTA) utilizing a
Machine Learning (ML) perspective, focusing on both characterization and classification …
Machine Learning (ML) perspective, focusing on both characterization and classification …
Classification of Darknet Traffic Using the AdaBoost Classifier Method
RE Sari, D Stiawan, N Afifah… - … Journal of Electrical …, 2024 - section.iaesonline.com
Darknet is famous for its ability to provide anonymity which is often used for illegal activities.
A security monitor report from BSSN highlights that 290.556 credential data from institution …
A security monitor report from BSSN highlights that 290.556 credential data from institution …
INTERNET OF THINGS BOTNET DETECTION VIA ENSEMBLE DEEP NEURAL NETWORKS
YO Kolcu, AH Yurttakal, B Baydan - International Journal of 3D …, 2023 - dergipark.org.tr
The widespread use of the Internet of Things (IoT) and the rapid increase in the number of
devices connected to the network bring both benefits and many problems. The most …
devices connected to the network bring both benefits and many problems. The most …
Classification of darknet activities using neural networks
B Aktan Ten - 2023 - earsiv.cankaya.edu.tr
It is very important to characterize and analyze the network before being exposed to threats.
In this study, darknet network traffic analysis was carried out and the darknet network was …
In this study, darknet network traffic analysis was carried out and the darknet network was …