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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

3rd IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2020)

ISBN

978-0-7381-0495-9

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

17-25

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

Rhodos

Místo konání akce

Rhodos

Datum konání akce

2. 11. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000647642100003