Securing Smart City Networks - Intelligent Detection Of DDoS Cyber Attacks
Author:
Affiliation:
1. Thiagarajar College of Engineering,Department of Applied Mathematics and Computational Science,Madurai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10072015/10072297/10073271.pdf?arnumber=10073271
Reference20 articles.
1. Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0
2. Detection and mitigation of botnet based DDoS attacks using catboost machine learning algorithm in SDN environment;sanjeetha;International Journal of Advanced Technology and Engineering Exploration,2021
3. A Survey of Low Rate DDoS Detection Techniques Based on Machine Learning in Software-Defined Networks
4. Towards Effective Detection of Recent DDoS Attacks: A Deep Learning Approach;lopes;Security and Communication Networks,2021
5. Predictive machine learning-based integrated approach for DDoS detection and prevention
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1. Detection of malicious requests aimed at disrupting the availability of cyber-physical systems;ITM Web of Conferences;2024
2. Protecting SDN from DDoS Attacks Using AI Techniques;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
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