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Research of Password Recovery Method for RAR Based on Parallel Random search

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Applications and Techniques in Information Security (ATIS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 490))

Abstract

Password recovery of RAR encrypted file is an important problem in computer forensics. It is difficult to deal with this problem by the traditional methods such as guess, dictionary, rainbow table and brute force. We give a new method based on parallel random search. The new method use a parallel stochastic approach on word selection in the dictionary attack. It can greatly improve the success rate of password recovery. And the experiment shows that the new approach is effective in the password recovery of RAR file.

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Author information

Authors and Affiliations

  1. Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, Shandong, China

    Liang Ge & Lianhai Wang

Authors
  1. Liang Ge
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  2. Lianhai Wang
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Editor information

Editors and Affiliations

  1. School of Information Technology, Deakin University, Melbourne, Australia

    Lynn Batten

  2. School of Information Technology, Deakin University, Australia

    Gang Li

  3. Institute of Information Engineering, Chinese Academy of Sciences, China

    Wenjia Niu

  4. School of Information and Business Analysis, Melbourne Camput at Burwood, Deakin University, 221, Burwood Highway, 315, Burwood, VIC, Australia

    Matthew Warren

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© 2014 Springer-Verlag Berlin Heidelberg

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Ge, L., Wang, L. (2014). Research of Password Recovery Method for RAR Based on Parallel Random search. In: Batten, L., Li, G., Niu, W., Warren, M. (eds) Applications and Techniques in Information Security. ATIS 2014. Communications in Computer and Information Science, vol 490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45670-5_20

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  • DOI: https://doi.org/10.1007/978-3-662-45670-5_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45669-9

  • Online ISBN: 978-3-662-45670-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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