… Rahali, “Didarknet: A contemporary approach to detect and characterize the darknet traffic
using deep image learning,” in 2020 the 10th International Conference on Communication …

… In this paper, we classify the dark net traffic using the knn algorithm and the network traffic
properties such as “Entropy of packet duration”, and the experimental results show that the “…

… Rahali, “Didarknet: a contemporary approach to detect and characterize the darknet traffic
using deep image learning,” in 2020 the 10th International Conference on Communication …

… However, as the input files we used only provided darknet traffic, these files did not contain
any legitimate traffic. Now, let us present another example with anomalies in a large and …

… traffic, since port-based and load-based classification processes are insufficient in encrypted
networks. In this study, VPN and Tor network traffic combined in the darknet … the darknet. It …

… image and video for traffic surveillance applications trained using a custom dataset created
with Indian road traffic images… and video dataset features are extracted using CSP darknet-53…

… This paper presents intelligent framework for the darknet traffic categorization with proposed
hybrid feature selector. The darknet traffic consists of data packet related … Full size image …

… image representation of encrypted network traffic, with applications to anonymous proxy …
[7] propose a self-attentive deep learning method for application identification and darknet …

… Darknet framework. We also improve the YOLO-voc structure according to the change of the
target scene and traffic … The traffic image data used to support the findings of this study have …

… This paper proposes a host (corresponding to a source IP) behavior based traffic … darknet
traffic. In our approach, we segmented and extracted traffic flows from captured darknet data, …