An efficient botnet detection approach based on feature learning and classification-Reference-Cited by-同舟云学术

An efficient botnet detection approach based on feature learning and classification

Published:2022-05-26 Issue:1 Volume:10 Page:40-53
ISSN:2330-7706
Container-title:Journal of Control and Decision
language:en
Short-container-title:Journal of Control and Decision

Author:

Padmavathi B.¹²,Muthukumar B.³

Affiliation:

1. Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India

2. Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India

3. DMI College of Engineering, Chennai, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Computer Networks and Communications,Human-Computer Interaction,Information Systems,Signal Processing,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23307706.2022.2077246

Reference33 articles.

1. Sentiment Analysis of Twitter Data: A Survey of Techniques

2. Secure Data Encryption Based on Quantum Walks for 5G Internet of Things Scenario

3. Abou Daya, A., Salahuddin, M. A., Limam, N. & Boutaba, R. (2019). A graphbased machine learning approach for bot detection. In Proceedings of the IFIP/IEEE Symposium on Integrated Network and Service Management (IM).

4. Filtration model for the detection of malicious traffic in large-scale networks

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