Efficient memory bound puzzles using pattern databases

  • Authors:
  • Sujata Doshi;Fabian Monrose;Aviel D. Rubin

  • Affiliations:
  • Computer Science Department, Johns Hopkins University, MD;Computer Science Department, Johns Hopkins University, MD;Computer Science Department, Johns Hopkins University, MD

  • Venue:
  • ACNS'06 Proceedings of the 4th international conference on Applied Cryptography and Network Security
  • Year:
  • 2006

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Abstract

CPU bound client puzzles have been suggested as a defense mechanism against connection depletion attacks. However, the wide disparity in CPU speeds prevents such puzzles from being globally deployed. Recently, Abadi et. al. [1] and Dwork et. al. [2] addressed this limitation by showing that memory access times vary much less than CPU speeds, and hence offer a viable alternative. In this paper, we further investigate the applicability of memory bound puzzles from a new perspective and propose constructions based on heuristic search methods. Our constructions are derived from a more algorithmic foundation, and as a result, allow us to easily tune parameters that impact puzzle creation and verification costs. Moreover, unlike prior approaches, we address client-side cost and present an extension that allows memory constrained clients (e.g., PDAs) to implement our construction in a secure fashion.