KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
KAUST, Université catholique de Louvain
Online Publication Date2017-08-24
Print Publication Date2017
Permanent link to this recordhttp://hdl.handle.net/10754/626101
MetadataShow full item record
AbstractSDN approaches to inter-domain routing promise better traffic engineering, enhanced security, and higher automation. Yet, naïve deployment of SDN on the Internet is dangerous as the control-plane expressiveness of BGP is significantly more limited than the data-plane expressiveness of SDN, which allows fine-grained rules to deflect traffic from BGP's default routes. This mismatch may lead to incorrect forwarding behaviors such as forwarding loops and blackholes, ultimately hindering SDN deployment at the inter-domain level. In this work, we make a first step towards verifying the correctness of inter-domain forwarding state with a focus on loop freedom while keeping private the SDN rules, as they comprise confidential routing information. To this end, we design a simple yet powerful primitive that allows two networks to verify whether their SDN rules overlap, i.e., the set of packets matched by these rules is non-empty, without leaking any information about the SDN rules. We propose an efficient implementation of this primitive by using recent advancements in Secure Multi-Party Computation and we then leverage it as the main building block for designing a system that detects Internet-wide forwarding loops among any set of SDN-enabled Internet eXchange Points.
CitationDethise A, Chiesa M, Canini M (2017) Privacy-Preserving Detection of Inter-Domain SDN Rules Overlaps. Proceedings of the SIGCOMM Posters and Demos on - SIGCOMM Posters and Demos ’17. Available: http://dx.doi.org/10.1145/3123878.3131967.
SponsorsThis research is (in part) supported by European Union’s Horizon 2020 research and innovation programme under the ENDEAVOUR project (grant agreement 644960).
Conference/Event nameACM SIGCOMM 2017 Conference