
handle: 1721.1/61338
Whānau is a novel routing protocol for distributed hash tables (DHTs) that is efficient and strongly resistant to the Sybil attack. Whānau uses the social connections between users to build routing tables that enable Sybil-resistant lookups. The number of Sybils in the social network does not affect the protocol’s performance, but links between honest users and Sybils do.When there are n well-connected honest nodes, Whānau can tolerate up to O(n/ log n) such “attack edges”. This means that an adversary must convince a large fraction of the honest users to make a social connection with the adversary’s Sybils before any lookups will fail. Whānau uses ideas from structured DHTs to build routing tables that contain O([sqrt]n log n) entries per node. It introduces the idea of layered identifiers to counter clustering attacks, a class of Sybil attacks challenging for previous DHTs to handle. Using the constructed tables, lookups provably take constant time. Simulation results, using social network graphs from LiveJournal, Flickr, YouTube, and DBLP, confirm the analytic results. Experimental results on PlanetLab confirm that the protocol can handle modest churn.
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (T-Party Project)
National Science Foundation (U.S.) (FIND program)
Quanta Computer (Firm)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
