Detail publikace

Distributed PCFG Password Cracking

HRANICKÝ, R. ZOBAL, L. RYŠAVÝ, O. KOLÁŘ, D. MIKUŠ, D.

Originální název

Distributed PCFG Password Cracking

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

distributed,password,cracking,forensics,grammar

Autoři

HRANICKÝ, R.; ZOBAL, L.; RYŠAVÝ, O.; KOLÁŘ, D.; MIKUŠ, D.

Vydáno

14. 8. 2020

Nakladatel

Springer Nature Switzerland AG

Místo

Guildford

ISBN

978-3-030-58950-9

Kniha

Computer Security - ESORICS 2020

Edice

Lecture notes in Computer Science

Strany od

701

Strany do

719

Strany počet

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"
}