DoS and DDoS attack detection using Mathematical and Entropy Methods
Author:
Affiliation:
1. Visvesvaraya National Institute of Technology,Electronics and Communication Department,Nagpur,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10135544/10136027/10136042.pdf?arnumber=10136042
Reference7 articles.
1. Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach
2. Distributed denial of service: Attack techniques and mitigation
3. Denial of service attacks: An overview
4. DDoS Attack Detection Using Fast En-tropy Approach on Flow-Based Network Traffic,Procedia Com-puter Science;david,2015
5. Detecting Denial of Service attacks using machine learning algorithms. Journal of Big Data;kumari,2022
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1. Analysis and Identification of Distributed Denial of Service Attacks Using Intra-Domain Messaging Schemes;2024 IEEE 6th Symposium on Computers & Informatics (ISCI);2024-08-10
2. Studying the Impact of Different TCP DoS Attacks on the Parameters of VoIP Streams;Telecom;2024-07-08
3. Detecting and Preventing DoS Attacks Within IoT Environment Using AWS IoT Core;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
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