ET-RF based Model for Detection of Distributed Denial of Service Attacks
Author:
Affiliation:
1. Maharishi Markandeshwar Deemed to be University, Mullana,MMEC,Ambala,Haryana
2. Maharishi Markandeshwar (Deemed to be University), Mullana,MMEC,Department of CSE,Ambala,133 207
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9760735/9760712/09760938.pdf?arnumber=9760938
Reference16 articles.
1. Proactive detection of DDoS attacks utilizing k-NN classifier in an anti-DDoS framework;nguyen;International Journal of Electrical Computer and Systems Engineering,2010
2. DDoS attack detection using machine learning techniques in cloud computing environments
3. Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review
4. Analysis of Machine Learning Classifiers for Early Detection of DDoS Attacks on IoT Devices
5. DDoSNet: A Deep-Learning Model for Detecting Network Attacks
Cited by 1 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. Reflection based Distributed Denial of Service Attack Detection System;2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA;2022-08-26
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