Sep 28, 2021 · The paper proposes Naive Bayes augmented with deep reinforcement learning (DRL) and fuzzy k-means clustering to classify VPN and non-VPN data.

The paper proposes Naive Bayes augmented with deep reinforcement learning (DRL) and fuzzy k-means clustering to classify VPN and non-VPN data. The proposed ...

In this paper, we have proposed a fuzzy classification system by generating the membership functions using semi-supervised learning method. k-means clustering ...

The paper proposes Naive Bayes augmented with deep reinforcement learning (DRL) and fuzzy k-means clustering to classify VPN and non-VPN data. The proposed ...

The experimental results reveal that an optimum network traffic classification is achieved for 'NB+DRL' approach, where DRL is used to reinforce the NB ...

VPN-nonVPN Traffic Classification Using Deep Reinforced Naive Bayes and Fuzzy K-means Clustering pp. 1-6. Towards Understanding the Adaptation Space of AI ...

Share your videos with friends, family, and the world. ... VPN-nonVPN Traffic Classification Using Deep Reinforced Naive Bayes and Fuzzy K-means Clustering.

(Gupta, 2021) introduced a deep reinforcement learning approach for VPN-non-VPN traffic classification, achieving competitive accuracy rates. However, their ...

Jul 29, 2023 · Gupta A. VPN non-VPN traffic classification using deep reinforced naive bayes and fuzzy K-means clustering. In: 2021 IEEE 41st international ...

To solve these problems, this paper proposes a low parameter sensitivity dynamic density peak clustering algorithm based on K-Nearest Neighbor (DDPC), and the ...