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CoinWatch: A Clone-Based Approach for Detecting Vulnerabilities in Cryptocurrencies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138635" target="_blank" >RIV/00216305:26230/20:PU138635 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/Blockchain50366.2020.00011" target="_blank" >http://dx.doi.org/10.1109/Blockchain50366.2020.00011</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/Blockchain50366.2020.00011" target="_blank" >10.1109/Blockchain50366.2020.00011</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    CoinWatch: A Clone-Based Approach for Detecting Vulnerabilities in Cryptocurrencies

  • Original language description

    Cryptocurrencies have become very popular in recent years. Thousands of new cryptocurrencies have emerged, proposing new and novel techniques that improve on Bitcoin's core innovation of the blockchain data structure and consensus mechanism. However, cryptocurrencies are a major target for cyber-attacks, as they can be sold on exchanges anonymously and most cryptocurrencies have their codebases publicly available. One particular issue is the prevalence of code clones in cryptocurrencies, which may amplify security threats. If a vulnerability is found in one cryptocurrency, it might be propagated into other cloned cryptocurrencies. In this work, we propose a systematic remedy to this problem, and we propose CoinWatch (CW). Given a reported vulnerability at the input, CW uses the code evolution analysis and a clone detection technique for indication of cryptocurrencies that might be vulnerable. We applied CW on 1094 cryptocurrencies using 4 CVEs and obtained 786 true vulnerabilities present in 384 projects, which were confirmed with developers and successfully reported as CVE extensions.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    3rd IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2020)

  • ISBN

    978-0-7381-0495-9

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    17-25

  • Publisher name

    Institute of Electrical and Electronics Engineers

  • Place of publication

    Rhodos

  • Event location

    Rhodos

  • Event date

    Nov 2, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000647642100003