A Survey on Detecting Internet Routing Anomalies Using Machine Learning

Abstract

The Border Gateway Protocol (BGP) used to exchange IP prefixes on the internet allowing incremental path vector routing protocol and attainability between Autonomous Systems (ASes), giving proficient activity of worldwide internet. Historically speaking, BGP anomalies causes upset of ASes at a wide range, i.e., recognizing them is vital. In the current time, Machine Learning (ML) strategies  guaranty improved BGP irregularity recognition utilizing volume, and way highlights of BGP update messages, that is regularly boisterous, and bursty. In this paper, we review and arranges these anomalies and talks about the latest procedures used to recognize inconsistencies. We additionally,study various key prerequisites for the up-and-coming of detecting internet routing anomalies procedures.