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Investigating Static Analyzers Detection Capabilities on Ethereum Smart Contracts

Date

Type

könyvfejezet

Language

en

Reading access rights:

Open access

Conference Date

February 1-2, 2021

Conference Place

Online

Conference Title

28th PhD Minisymposium of the Department of Measurement and Information Systems

ISBN, e-ISBN

978-963-421-845-6

Container Title

Proceedings of the 28th PhD Minisymposium of the Department of Measurement and Information Systems

Department

Department of Measurement and Information Systems

Version

Kiadói változat

Faculty

Faculty of Electrical Engineering and Informatics

First Page

36

Subject (OSZKAR)

smart contracts
tools
classification
metrics
correlation
location detection

Gender

Konferenciacikk

University

Budapest University of Technology and Economics

OOC works

Abstract

Ethereum smart contracts had ever-increasing development in recent years. Hidden vulnerabilities can not be patched once a smart contract is deployed on a blockchain because of the code immutability. The use of static analyzers reduces the number of vulnerabilities in smart contracts. The paper focuses on the outcomes of some static analyzers for Solidity smart contracts. Based on a language-independent systematization of vulnerabilities, the work performs an analysis of positives detection of some static analyzers on a smart contracts dataset. Such analysis permits (i) identifying a positive correlation among some smart contracts’ metrics and tools’ outcomes, and (ii) investigating where tools detect specific classes of the systematization.

Description

Keywords