DarkDetect: Darknet Traffic Detection and Categorization Using Modified Convolution-Long Short-Term Memory

DarkDetect: Darknet Traffic Detection and Categorization Using Modified Convolution-Long Short-Term Memory

Darknet is commonly known as the epicenter of illegal online activities. An analysis of darknet traffic is essential to monitor real-time applications and activities running over the Darknet. Recognizing network traffic bound to unused Internet addresses has become undeniably significant for identif...

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Bibliographic Details
Main Authors: Muhammad Bilal Sarwar, Muhammad Kashif Hanif, Ramzan Talib, Muhammad Younas, Muhammad Umer Sarwar
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Characterization
darknet traffic
deep learning
encrypted traffic
machine learning
Tor
Online Access:https://ieeexplore.ieee.org/document/9514531/

Internet

https://ieeexplore.ieee.org/document/9514531/

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