Detecting DDoS Attacks on the Network Edge: An Information-Theoretic Correlation Analysis
Author:
Affiliation:
1. Nara Institute of Science and Technology,Division of Information Science,Ikoma,Japan
2. Umeå University,Department of Computing Science,Umeå,Sweden,901 87
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10538469/10538471/10538834.pdf?arnumber=10538834
Reference30 articles.
1. Implementation of intrusion detection model for DDoS attacks in Lightweight IoT Networks
2. Hierarchical Load Balancing and Clustering Technique for Home Edge Computing
3. Light-Weight DDoS Mitigation at Network Edge with Limited Resources
4. HybridDAD: Detecting DDoS Flooding Attack using Machine Learning with Programmable Switches
5. Rank Correlation for Low-Rate DDoS Attack Detection: An Empirical Evaluation;Ain;International Journal of Network Security,2016
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