MPLS policy target recognition network

Abstract

Policy-based protocols such as Multi-Protocol Label Switching (MPLS) and Border Gateway Protocol (BGP) are deployed by service providers to increase the efficiency of their networks; particularly the MPLS protocol where traffic engineering is required for the guarantee of Quality of Service (QoS) that is crucial for real-time dependant systems such as financial services, government and public safety, critical infrastructures and smart grids. Network operators are cautious about revealing information of their network; mainly for security reasons. Whereas, sophisticated adversaries are known for launching reconnaissance attacks years in advance of more malicious attacks. Whilst, research in this area was limited to the BGP, this paper aims to analyse the ability to reveal MPLS policy states with limited knowledge using Bayesian Belief Network (BBN).