Malicious DNS Detection and Prediction Using SMOTE-ENN and Hybrid Artificial Neural Network-Reference-Cited by-同舟云学术

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Malicious DNS Detection and Prediction Using SMOTE-ENN and Hybrid Artificial Neural Network

Published:2022-11-04 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
language:
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Author:

Jain Uday¹,Srivastava Yashaswat²,Malik Amisha¹,Dhingra Dhruv²,Kumar Archit²,Nagrath Preeti¹

Affiliation:

1. Bharati Vidyapeeth’s College of Engineering,Computer Science and Engineering,New Delhi

2. Bharati Vidyapeeth’s College of Engineering,Electronics and Communication and Engineering,New Delhi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10037246/10037222/10037679.pdf?arnumber=10037679

Reference19 articles.

1. A hybrid sampling algorithm combining M-SMOTE and ENN based on Random forest for medical imbalanced data

2. Overcoming Class Imbalance using SMOTE Techniques;the data science blog,2020

3. A dynamic architecture for artificial neural networks

4. DNS dataset for malicious domains detection

5. Detection of Malicious Domain Name Based on DNS Data Analysis

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