An Optimal Reinforced Deep Belief Network for Detection of Malicious Network Traffic-Reference-Cited by-同舟云学术

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An Optimal Reinforced Deep Belief Network for Detection of Malicious Network Traffic

Published:2023-03-09 Issue: Volume: Page:1-15
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Jehan C.¹,Rajesh Kumar T.²

Affiliation:

1. Department of Computer Engineering, Rohini Collge of Engineering and Technology, Kanyakumari, India

2. Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2023.2175059

Reference23 articles.

1. Capsule Network Assisted IoT Traffic Classification Mechanism for Smart Cities

2. Encrypted traffic classification based on Gaussian mixture models and Hidden Markov Models

3. Scalable and QoS-Aware Resource Allocation to Heterogeneous Traffic Flows in 5G

4. Deconvolution Feature Fusion for traffic signs detection in 5G driven unmanned vehicle

5. Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems

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