A Comparative Study Of Binary Class Logistic Regression and Shallow Neural Network For DDoS Attack Prediction-Reference-Cited by-同舟云学术

A Comparative Study Of Binary Class Logistic Regression and Shallow Neural Network For DDoS Attack Prediction

Published:2022-03-26 Issue: Volume: Page:
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Container-title:SoutheastCon 2022
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Author:

Tufail Shahid¹,Batool Shanzeh¹,Sarwat Arif I.¹

Affiliation:

1. Florida International University,Department of Electrical and Computer Engineering,Miami,Florida

Funder

U.S. Department of Energy

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9763896/9763889/09764108.pdf?arnumber=9764108

Reference22 articles.

1. A service governance and isolation based approach to mitigate internal collateral damages in cloud caused by DDoS attack

2. Detection and discrimination of ddos attacks from flash crowd using entropy variations;katiyar;International Journal of Engineering and Technology,2013

3. Latency Critical Data Processing in Cloud for Smart Grid Applications

4. Machine learning ddos detection using stochastic gradient boosting;prasad;International Journal of Computational Engineering Science,2019

5. Search unb,0

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