Study on Massive-Scale Slow-Hash Recovery Using Unified Probabilistic Context-Free Grammar and Symmetrical Collaborative Prioritization with Parallel Machines

Slow-hash algorithms are proposed to defend against traditional offline password recovery by making the hash function very slow to compute. In this paper, we study the problem of slow-hash recovery on a large scale. We attack the problem by proposing a novel concurrent model that guesses the target...

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Bibliographic Details
Main Authors: Tianjun Wu, Yuexiang Yang, Chi Wang, Rui Wang
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/11/4/450