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Creators/Authors contains: "Darir, Hussein"

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  1. ; ; ; ; (, Proceedings of the 2018 Workshop on Privacy in the Electronic Society, WPES@CCS 2018, Toronto, ON, Canada, October 15-19, 2018)
    We study the problem of load-balancing in path selection in anonymous networks such as Tor. We first find that the current Tor path selection strategy can create significant imbalances. We then develop a (locally) optimal algorithm for selecting paths and show, using flow-level simulation, that it results in much better balancing of load across the network. Our initial algorithm uses the complete state of the network, which is impractical in a distributed setting and can compromise users' privacy. We therefore develop a revised algorithm that relies on a periodic, differentially private summary of the network state to approximate the optimal assignment. Our simulations show that the revised algorithm significantly outpe forms the current strategy while maintaining provable privacy guarantees. 
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