SPAR

Security and Privacy Applied Research Lab

Efficient Techniques for Detecting False Origin Advertisements in Inter-domain Routing

Sophie Qiu
Department of Computer Science
Johns Hopkins University

Abstract

The Border Gateway Protocol (BGP), and hence the Internet, remains critically vulnerable to a range of prefix forgery attacks. We address these attacks by proposing a non-cryptographic, incrementally deployable mechanism to probabilistically detect forged BGP origin advertisements. Upon receiving an advertisement from a ``suspicious'' origin, the receiving domain intelligently probes other ASes about the received information. Any dissenting information indicates potential forgery or error, and is reported by the polled ASes to the true origin and processed appropriately. In this design, we exploit the fact that the highly connected AS topology makes it difficult to block the dissemination of information as it traverses the Internet. We evaluate the effectiveness of our probing mechanism via simulation on realistic Internet topologies. The experiments show that 98% of forgeries can be detected even when as few as 10% of the ASes participate in the protocol under a naive polling stratagem. Moreover, we show that judicious node selection can further improve detection rates while minimizing the number of probes.