A Hybrid Model for BGP Anomaly Detection Using Median Absolute Deviation and Machine Learning

Detecting anomalies in the Border Gateway Protocol (BGP) has proved relevant in the cybersecurity field due to the protocol’s critical role in the Internet’s infrastructure. BGP vulnerabilities can lead to major disruptions and connectivity failures, highlighting the need for early det...

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Bibliografiska uppgifter

Huvudupphov:	Maria Andrea Romo-Chavero, Gustavo De Los Rios Alatorre, Jose Antonio Cantoral-Ceballos, Jesus Arturo Perez-Diaz, Carlos Martinez-Cagnazzo
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2025-01-01
Serie:	IEEE Open Journal of the Communications Society
Ämnen:	Anomaly detection border gateway protocol machine learning median absolute deviation statistics
Länkar:	https://ieeexplore.ieee.org/document/10930348/
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