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Cyberthreat hunting - Part 1: triaging ransomware using fuzzy hashing, import hashing and YARA rules

  • Nitin Naik
  • , Paul Jenkins
  • , Nick Savage
  • , Longzhi Yang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    446 Downloads (Pure)

    Abstract

    Ransomware is currently one of the most significant cyberthreats to both national infrastructure and the individual, often requiring severe treatment as an antidote. Triaging ran-somware based on its similarity with well-known ransomware samples is an imperative preliminary step in preventing a ransomware pandemic. Selecting the most appropriate triaging method can improve the precision of further static and dynamic analysis in addition to saving significant t ime a nd e ffort. Currently, the most popular and proven triaging methods are fuzzy hashing, import hashing and YARA rules, which can ascertain whether, or to what degree, two ransomware samples are similar to each other. However, the mechanisms of these three methods are quite different and their comparative assessment is difficult. Therefore, this paper presents an evaluation of these three methods for triaging the four most pertinent ransomware categories WannaCry, Locky, Cerber and CryptoWall. It evaluates their triaging performance and run-time system performance, highlighting the limitations of each method.
    Original languageEnglish
    Title of host publication2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages6
    ISBN (Electronic)978-1-5386-1728-1
    ISBN (Print)978-1-5386-1729-8
    DOIs
    Publication statusPublished - 10 Oct 2019
    Event2019 IEEE International Conference: Fuzzy Systems - New Orleans, United States
    Duration: 23 Jun 201926 Nov 2019
    https://ieeexplore.ieee.org/xpl/conhome/8845563/proceeding

    Publication series

    NameFuzzy Systems (FUZZ-IEEE) 2019 IEEE International Conference
    PublisherIEEE
    ISSN (Print)1558-4739

    Conference

    Conference2019 IEEE International Conference
    Abbreviated titleFUZZ-IEEE
    Country/TerritoryUnited States
    CityNew Orleans
    Period23/06/1926/11/19
    Internet address

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