Hybrid SVM Approach for Enhanced DDoS Attack Detection Using Machine Learning in Cloud Environment-Reference-Cited by-同舟云学术

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Hybrid SVM Approach for Enhanced DDoS Attack Detection Using Machine Learning in Cloud Environment

Published:2024-03-15 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
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Author:

R Arunkumar¹,S Navanitha¹,B Padmavathi¹,V Snekaa¹

Affiliation:

1. K S Rangasamy College of Technology,Department of Information Technology,Tiruchengode,Tamilnadu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10531297/10531303/10531330.pdf?arnumber=10531330

Reference15 articles.

1. Secure software development: a prescriptive framework

2. Adaption of a Secure Software Development Methodology for Secure Engineering Design

3. Cyber-security on smart grid: Threats and potential solutions

4. Aspects of enhancing security in software development life cycle;Sharma;Adv Comput Sci Technol,2020

5. An effective computational technique for taxonomic position of security vulnerability in software development

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. DBSCAN SMOTE LSTM: Effective Strategies for Distributed Denial of Service Detection in Imbalanced Network Environments;Big Data and Cognitive Computing;2024-09-10

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