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Summary: Towards Reliable Reputations for Dynamic Networked Systems
Gayatri Swamynathan
, Ben Y. Zhao
, Kevin C. Almeroth
, S. Rao Jammalamadaka§
Department of Computer Science, UC Santa Barbara, CA 93106
§
Department of Statistics and Applied Probability, UC Santa Barbara, CA 93106
{gayatri, ravenben, almeroth}@cs.ucsb.edu, rao@pstat.ucsb.edu
Abstract
A new generation of distributed systems and applications
rely on the cooperation of diverse user populations moti-
vated by self-interest. While they can utilize "reputation
systems" to reduce selfish behaviors that disrupt or manipu-
late the network for personal gain, current reputations face
a key challenge in large dynamic networks: vulnerability to
peer collusion. In this paper, we propose to dramatically
improve the accuracy of reputation systems with the use
of a statistical metric that measures the "reliability" of a
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