Divide, Recombine and Conquer: Syntactic Patterns-Reassembly Algorithm applied to Password Guessing Process
This work proposes a novel password guessing approach based on the identification, extraction and recombination of meaningful syntactic patterns present in human-chosen passwords. The proposed method exploits the existence of these patterns across user-selected passwords in order to effectively reduce the search space to be explored during the password guessing process. The password guessing scheme follows a two stage strategy. In the first step, a novel algorithm based on machine learning principles, identifies and extracts the syntactic meaningful patterns from a dataset of passwords. Then, in a second stage, these parts-of-passwords previously segmented are recombined in order to generate new statistically relevant password candidates that are used against a blind evaluation set. The experimental results show that this novel approach is able to retrieve complex passwords usually robust to traditional password guessing techniques.
COISEL Iwen;
SANCHEZ MARTIN Jose Ignacio;
GALBALLY HERRERO Javier;
2018-01-09
INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS
JRC107390
2153-0742,
http://ieeexplore.ieee.org/document/8167849/,
https://publications.jrc.ec.europa.eu/repository/handle/JRC107390,
10.1109/CCST.2017.8167849,
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