On Efficiency of Distributed Password Recovery

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121677" target="_blank" >RIV/00216305:26230/16:PU121677 - isvavai.cz</a>

Výsledek na webu

<a href="http://ojs.jdfsl.org/index.php/jdfsl/issue/view/46" target="_blank" >http://ojs.jdfsl.org/index.php/jdfsl/issue/view/46</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

On Efficiency of Distributed Password Recovery

Popis výsledku v původním jazyce

One of the major challenges in digital forensics today is data encryption. Due to the leaked information about unlawful sniffing, many users decided to protect their data by encryption. In case of criminal activities, forensic experts are challenged how to decipher suspects' data that are subject to investigation. A common method how to overcome password-based pro- tection is a brute force password recovery using GPU-accelerated hardware. This approach seems to be expensive. This paper presents an alternative approach using task distribution based on BOINC platform. The cost, time, and energy efficiency of this approach is discussed and compared to the GPU-based solution.

Název v anglickém jazyce

On Efficiency of Distributed Password Recovery

Popis výsledku anglicky

One of the major challenges in digital forensics today is data encryption. Due to the leaked information about unlawful sniffing, many users decided to protect their data by encryption. In case of criminal activities, forensic experts are challenged how to decipher suspects' data that are subject to investigation. A common method how to overcome password-based pro- tection is a brute force password recovery using GPU-accelerated hardware. This approach seems to be expensive. This paper presents an alternative approach using task distribution based on BOINC platform. The cost, time, and energy efficiency of this approach is discussed and compared to the GPU-based solution.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

The Journal of Digital Forensics, Security and Law

ISSN

1558-7215

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

79-96

Kód UT WoS článku

000393413400006

EID výsledku v databázi Scopus

—