Distributed denial of service attack detection using Naive Bayes Classifier through Info Gain Feature Selection-Reference-Cited by-同舟云学术

Distributed denial of service attack detection using Naive Bayes Classifier through Info Gain Feature Selection

Published:2016-08-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Informatics and Analytics
language:
Short-container-title:

Author:

Singh Ningombam Anandshree¹,Singh Khundrakpam Johnson¹,De Tanmay²

Affiliation:

1. Dept. of Computer Science and Engineering, National Institute of Technology, Manipur, Imphal, Manipur

2. Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, Durgapur, West Bengal

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2980258.2980379

Reference19 articles.

1. Saied A. Overill R. E. Radzik T. 2015. Detection of known and unknown DDoS attack s using Artificial Neural Networks. IEEE Volume 172 8 January 2016 Pages 385--393 10.1016/j.neucom.2015.04.101 Saied A. Overill R. E. Radzik T. 2015. Detection of known and unknown DDoS attack s using Artificial Neural Networks. IEEE Volume 172 8 January 2016 Pages 385--393 10.1016/j.neucom.2015.04.101

2. Mitchell T. M. 1997. Machine Learning 81-117 128-145 157-198 1st ed. McGrawHill Science/Engineering/Math New York (1997) 52--78 Chapters 3 4 6 7. Mitchell T. M. 1997. Machine Learning 81-117 128-145 157-198 1st ed. McGrawHill Science/Engineering/Math New York (1997) 52--78 Chapters 3 4 6 7.

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An End-to-end Online DDoS Mitigation Scheme for Network Forwarding Devices;2024 7th World Conference on Computing and Communication Technologies (WCCCT);2024-04-12

2. Detection of Denial-of-Service Attacks in Software-Defined Networking Based on Traffic Classification using Deep learning;2024 10th International Conference on Artificial Intelligence and Robotics (QICAR);2024-02-29

3. DDoS attack detection in smart grid network using reconstructive machine learning models;PeerJ Computer Science;2024-01-09

4. Improving the accuracy of the intrusion detection system in the detection of DoS attacks using Naive Bayes and comparison with SVM;AIP Conference Proceedings;2024

5. A Preliminary Study on the Application of Hybrid Machine Learning Techniques in Network Intrusion Detection Systems;2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG);2023-04-05