Research Terms
Professor Aggarwal's team developed a system for analyzing and modifying passwords in a manner that provides a user with a strong and usable/memorable password. The user would propose a password that has relevance and can be remembered. The invention would evaluate the password to ascertain its strength. The evaluation is based on a probabilistic password cracking system that is trained on sets of revealed passwords and that can generate password guesses in highest probability order. If the user's proposed password is strong enough, the proposed password is accepted. If the user's proposed password is not strong enough, the system will reject it. If the proposed password is rejected, the system modifies the password and suggests one or more stronger passwords. The modified passwords would have limited modifications to the proposed password. Thus, the user has a tested strong and memorable password.
The invention includes a method and apparatus for attempting to synchronize delivery of information at a plurality of receiving systems. The method includes generating, at a sending system, a plurality of current messages adapted for rendering an asset within an application space of a respective plurality of receiving systems, determining an accumulated export error for each of the receiving systems, transmitting the current messages toward the respective receiving systems in a manner adapted to reduce the accumulated export errors. The accumulated export error for a receiving system includes an estimated current message export error for a current message generated by the sending system for the receiving system and an accumulated previous message export error for at least one previous message generated by the sending system for the receiving system.
Patent Currently Assigned to Alcatel-Lucent SA and Florida State University Research Foundation Inc
The presented invention relates to a system and method of probabilistic passwords cracking. We describe a novel password cracking system that generates password structures in highest probability order. Our program, called UnLock, automatically creates a probabilistic context-free grammar (CFG) based upon a training set of previously disclosed passwords. This grammar then allows us to generate word-mangling rules, and from them, password guesses to be used in password cracking attacks.
The effectiveness of our approach was demonstrated by testing our tools and techniques on real password sets, several of which contained over 100,000 passwords. In one series of experiments, training on a set of disclosed passwords, our approach was able to crack 36% to 93% more passwords than John the Ripper, a publicly available standard password cracking program. Finally, the method has been optimized for speed and parallelization, because both are important requirements for any password cracking software. Therefore, the novel method significantly reduces the memory requirements of longer password cracking sessions.
The presented invention relates to a system and method of probabilistic passwords cracking. We describe a novel password cracking system that generates password structures in highest probability order. Our program, called UnLock, automatically creates a probabilistic context-free grammar (CFG) based upon a training set of previously disclosed passwords. This grammar then allows us to generate word-mangling rules, and from them, password guesses to be used in password cracking attacks.
The effectiveness of our approach was demonstrated by testing our tools and techniques on real password sets, several of which contained over 100,000 passwords. In one series of experiments, training on a set of disclosed passwords, our approach was able to crack 36% to 93% more passwords than John the Ripper, a publicly available standard password cracking program. Finally, the method has been optimized for speed and parallelization, because both are important requirements for any password cracking software. Therefore, the novel method significantly reduces the memory requirements of longer password cracking sessions.