Median Absolute Deviation for BGP Anomaly Detection

The stability and reliability of the global Internet infrastructure heavily rely on the Border Gateway Protocol (BGP), a crucial protocol that facilitates the exchange of routing information among various Autonomous Systems, ensuring seamless connectivity worldwide. However, BGP inherently possesses...

Full description

Saved in:
Bibliographic Details
Published in:Future internet 2024-05, Vol.16 (5), p.146
Main Authors: Romo-Chavero, Maria Andrea, Cantoral-Ceballos, Jose Antonio, Pérez-Díaz, Jesus Arturo, Martinez-Cagnazzo, Carlos
Format: Article
Language:English
Subjects:
Abnormalities
Analysis
Anomalies
anomaly detection
border gateway protocol
Cybersecurity
Deep learning
Deviation
Infrastructure
Internet
Machine learning
median absolute deviation
Reliability
Stability
Statistical methods
statistics
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The stability and reliability of the global Internet infrastructure heavily rely on the Border Gateway Protocol (BGP), a crucial protocol that facilitates the exchange of routing information among various Autonomous Systems, ensuring seamless connectivity worldwide. However, BGP inherently possesses a susceptibility to abnormal routing behaviors, potentially leading to significant connectivity disruptions. Despite extensive efforts, accurately detecting and effectively mitigating such abnormalities persist as tough challenges. To tackle these, this article proposes a novel statistical approach employing the median absolute deviation under certain constraints to proactively detect anomalies in BGP. By applying advanced analysis techniques, this research offers a robust method for the early detection of anomalies, such as Internet worms, configuration errors, and link failures. This innovative approach has been empirically validated, achieving an accuracy rate of 90% and a precision of 95% in identifying these disruptions. This high level of precision and accuracy not only confirms the effectiveness of the statistical method employed but also marks a significant step forward for enhancing the stability and reliability of the global Internet infrastructure.
ISSN:1999-5903
1999-5903
DOI:10.3390/fi16050146