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Distributed Password Cracking in a Hybrid Environment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126390" target="_blank" >RIV/00216305:26230/17:PU126390 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11358" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11358</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Distributed Password Cracking in a Hybrid Environment

  • Original language description

    For forensic experts, encrypted data nowadays represent one of the biggest challenges. With criminal suspects unwilling to surrender their passwords, the only way to obtain the encryption key is by password disclosure or password cracking. Modern cryptographic techniques are being enhanced to provide the maximum level of security making it impossible for a single man with a computer to crack the password within a meaningful time. General-purpose computing on graphics processing units (GPUs) often accelerates the entire process. Nevertheless, a single-machine GPU cracking has still its limits. Thus, the only way of achieving the desired amount of computational power is distributed cracking. Not in every case the forensic investigators possess a dedicated computer cluster powerful enough to serve their needs. Complex problems may require merging multiple clusters together as well as the use of general-purpose hardware to get as much computational power as possible. The computers may be even located in geographically separated areas, e.g. multiple corporation branches, requiring a solution for secure and reliable interconnection and control of the machines. Using Berkeley Open Infrastructure for Network Computing (BOINC) framework together with our specialized modules, we designed a solution for distributed password recovery in a hybrid environment including, but not limited to, individual general-purpose CPU nodes, GPU nodes, and specialized CPU/GPU clusters. The solution is feasible for a variable number of nodes in an untrusted and unstable environment, by offering proper adaptivity and robustness. In the paper, we provide the experimental results of distributed cracking in a hybrid CPU/GPU environment. The experiments include both exhaustive search and dictionary attack. We analyze the results of different approaches using several types of hardware. Our goal is to provide a survey comparing possible attack techniques and connecting t

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

    <a href="/en/project/VI20172020062" target="_blank" >VI20172020062: Integrated platform for analysis of digital data from security incidents</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of SPI 2017

  • ISBN

    978-80-7231-414-0

  • ISSN

  • e-ISSN

  • Number of pages

    16

  • Pages from-to

    75-90

  • Publisher name

    Brno University of Defence

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 1, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article