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2012 IEEE Symposium on Security and Privacy
Secure and Scalable Fault Localization under Dynamic Traffic Patterns
San Francisco, California USA
May 20-May 23
ISBN: 978-0-7695-4681-0
Compromised and misconfigured routers are a well-known problem in ISP and enterprise networks. Data-plane fault localization (FL) aims to identify faulty links of compromised and misconfigured routers during packet forwarding, and is recognized as an effective means of achieving high network availability. Existing secure FL protocols are path-based, which assume that the source node knows the entire outgoing path that delivers the source node's packets and that the path is static and long-lived. However, these assumptions are incompatible with the dynamic traffic patterns and agile load balancing commonly seen in modern networks. To cope with real-world routing dynamics, we propose the first secure neighborhood-based FL protocol, DynaFL, with no requirements on path durability or the source node knowing the outgoing paths. Through a core technique we named delayed key disclosure, DynaFL incurs little communication overhead and a small, constant router state independent of the network size or the number of flows traversing a router. In addition, each DynaFL router maintains only a single secret key, which based on our measurement results represents 2 - 4 orders of magnitude reduction over previous path-based FL protocols.
Index Terms:
telecommunication traffic,computer network reliability,computer network security,cryptographic protocols,fault location,Internet,resource allocation,routing protocols,security,dynamic traffic pattern,scalable fault localization,ISP,enterprise network,fault link,packet forwarding,network availability,agile load balancing,routing dynamics,neighborhood-based FL protocol,DynaFL,flow traversing,path-based FL protocol,Routing protocols,Security,Routing,Vectors,Load management,Scalability
Citation:
Chang Lan, A. Perrig, Xin Zhang, "Secure and Scalable Fault Localization under Dynamic Traffic Patterns," sp, pp.317-331, 2012 IEEE Symposium on Security and Privacy, 2012
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