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HRANICKÝ, R. ZOBAL, L. RYŠAVÝ, O. KOLÁŘ, D. MIKUŠ, D.
Original Title
Distributed PCFG Password Cracking
Type
conference paper
Language
English
Original Abstract
In digital forensics, investigators frequently face cryptographic protection that prevents access to potentially significant evidence. Since users prefer passwords that are easy to remember, they often unwittingly follow a series of common password-creation patterns. A probabilistic context-free grammar is a mathematical model that can describe such patterns and provide a smart alternative for traditional brute-force and dictionary password guessing methods. Because more complex tasks require dividing the workload among multiple nodes, in the paper, we propose a technique for distributed cracking with probabilistic grammars.
Keywords
distributed,password,cracking,forensics,grammar
Authors
HRANICKÝ, R.; ZOBAL, L.; RYŠAVÝ, O.; KOLÁŘ, D.; MIKUŠ, D.
Released
14. 8. 2020
Publisher
Springer Nature Switzerland AG
Location
Guildford
ISBN
978-3-030-58950-9
Book
Computer Security - ESORICS 2020
Edition
Lecture notes in Computer Science
Pages from
701
Pages to
719
Pages count
19
URL
https://link.springer.com/chapter/10.1007/978-3-030-58951-6_34
BibTex
@inproceedings{BUT168120, author="Radek {Hranický} and Lukáš {Zobal} and Ondřej {Ryšavý} and Dušan {Kolář} and Dávid {Mikuš}", title="Distributed PCFG Password Cracking", booktitle="Computer Security - ESORICS 2020", year="2020", series="Lecture notes in Computer Science", pages="701--719", publisher="Springer Nature Switzerland AG", address="Guildford", doi="10.1007/978-3-030-58951-6\{_}34", isbn="978-3-030-58950-9", url="https://link.springer.com/chapter/10.1007/978-3-030-58951-6_34" }