Analyzing darknet traffic through machine learning and neucube spiking neural networks

Analyzing darknet traffic through machine learning and neucube spiking neural networks

The rapidly evolving darknet enables a wide range of cybercrimes through anonymous and untraceable communication channels. Effective detection of clandestine darknet traffic is therefore critical yet immensely challenging. This research demonstrates how advanced machine learning and specialized deep...

Full description

Saved in:
Bibliographic Details
Main Authors: Iman Akour, Mohammad Alauthman, Khalid M. O. Nahar, Ammar Almomani, Brij B. Gupta
Format: Article
Language:English
Published: Tsinghua University Press 2024-12-01
Series:Intelligent and Converged Networks
Subjects:
darknet traffic
machine learning
deep learning
spiking neural network
pca
Online Access:https://www.sciopen.com/article/10.23919/ICN.2024.0022
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.sciopen.com/article/10.23919/ICN.2024.0022

Similar Items