Safeguarding Against Active Routing Attack via Online Learning

Abstract

The Border Gateway Protocol (BGP) is a vital protocol on the Internet. However, the BGP is susceptible against the prefix interception attack, how to seek a secure route against prefix interception attacks is an important problem. For this reason, we propose a novel and effective router selection method on the Internet. First, we evaluate resilience of autonomous systems against prefix interception attacks. Second, we evaluate security risk of next-hop routers and we also obtain the historical performance of next-hop routers via online learning. Finally, we compromise the two performance metrics of routers’ resilience and historical performance to choose a secure route. Our method is verified by network simulations. The results show that the proposed method has more resilience against prefix interception attacks.