![]() ![]() Our tests were done over fairly long password guessing sessions (up to 85 billion) and thus show the uniform effectiveness of our techniques for long cracking sessions. ![]() Combining both approaches, we can achieve a 55% improvement over the previous system. Using our approach to improving the dictionary, we achieve an additional improvement of ∼33% by increasing the coverage of a standard attack dictionary. In this paper, we also define metrics to help analyze and improve attack dictionaries. and security auditing tools for Furthermore, a proactive password checker could encourage system. Our results on cracking multiple data sets show that by learning these new classes of patterns, we can achieve up to 22% improvement over the original system. In this paper, we show how to substantially improve upon this system by systematically adding keyboard patterns and multiword patterns (two or more words in the alphabetic part of a password) to the context-free grammars used in the probabilistic password cracking. was an important addition to dictionary-based password cracking approaches. ![]() The probabilistic context-free grammar-based password cracking system of Weir et al. Passwords continue to remain an important authentication technique. ![]()
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