Comprehensive Performance Evaluation of Association Rule Mining Algorithms for Border Gateway Protocol Anomaly Detection
Author:
Affiliation:
1. Almaafer Communıty College,Taiz,Yemen
2. Karabuk University,Dept. of Computer Engineering,Karabük,Turkey
3. Karabük University,Dept. of Electrical & Electronics Engineering,Karabük,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10638789/10638835/10638999.pdf?arnumber=10638999
Reference29 articles.
1. Suitability of Graph Representation for BGP Anomaly Detection
2. Attaining stable and loop-free inter-domain routing without path vectors
3. An analysis of BGP convergence properties
4. Multidomain SDN-Based Gateways and Border Gateway Protocol
5. Border gateway protocol anomaly detection using machine learning techniques;Edwards;SMU Data Science Review,2019
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