Detection of DDoS Attacks using Semi-Supervised based Machine Learning Approaches-Reference-Cited by-同舟云学术

Detection of DDoS Attacks using Semi-Supervised based Machine Learning Approaches

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Computational Methods in Science & Technology (ICCMST)
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Author:

Garg Umang¹,Kaur Maninder²,Kaushik Malvika²,Gupta Neha³

Affiliation:

1. Graphic Era Hill University,Department of CSE,Dehradun

2. Chandigarh Engineering College, CGC

3. Graphic Era Deemed to be University,Department of ECE,Dehradun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9784421/9784590/09784741.pdf?arnumber=9784741

Reference18 articles.

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2. An analysis of intrusion detection system using back propagation neural network

3. An Intrusion Detection SystemBased on Neural Network;han;2011 International Conference onMechatronic Science Electric Engineering and Computer,2011

4. A Neural Network Based Anomaly Intrusion Detection System

5. BackPropagation Neural Network Approach to Intrusion DetectionSystem;mukhopadhyay;2011 International Conference on Recent Trends in Information Systems,0

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1. A Survey on the Applications of Semi-supervised Learning to Cyber-security;ACM Computing Surveys;2024-06-22

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4. DDoS Detection and Prediction Techniques-A Survey;2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2023-04-28

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