Major vulnerabilities in Ethereum smart contracts: Investigation and statistical analysis

The general public is becoming increasingly familiar with blockchain technology. Numerous new applications are made possible by this technology's unique features, which include transparency, strong security via cryptography, and distribution. These applications need certain programming tools and interfaces to be implemented. This is made feasible by smart contracts. If the prerequisites are satisfied, smart contracts are carried out automatically. Any mistake in smart contract coding, particularly security-related ones, might have an impact on the project as a whole, available funds, and important data. The current paper discusses the flaws of the Ethereum smart contract in this respect. By examining publically accessible scientific sources, this work aims to present thorough information about vulnerabilities, examples, and current security solutions. Additionally, a substantial collection of current Ethereum (ETH) smart contracts has undergone a static code examination to conduct the vulnerability-finding procedure. The output has undergone assessments and statistical analysis. The study's conclusions demonstrate that smart contracts have several distinct flaws, including arithmetic flaws, that developers should be more aware of. These vulnerabilities and the solutions that can be used to address them are also included.

Authors

Institutions

Publication Details

Journal
EAI Endorsed Transactions on Internet of Things
Published
2024-12-18
DOI
https://doi.org/10.4108/eetiot.5120
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Major vulnerabilities in Ethereum smart contracts: Investigation and statistical analysis

Mohammad Pishdar, Qin Xin, Mahdi Bahaghighat, Rajeev Kumar
1 citations
EAI Endorsed Transactions on Internet of Things
Blockchain Technology Applications and Security
0.78
article

Major vulnerabilities in Ethereum smart contracts: Investigation and statistical analysis

Mohammad Pishdar, Qin Xin, Mahdi Bahaghighat, Rajeev Kumar
article en
1 citations

Abstract

The general public is becoming increasingly familiar with blockchain technology. Numerous new applications are made possible by this technology's unique features, which include transparency, strong security via cryptography, and distribution. These applications need certain programming tools and interfaces to be implemented. This is made feasible by smart contracts. If the prerequisites are satisfied, smart contracts are carried out automatically. Any mistake in smart contract coding, particularly security-related ones, might have an impact on the project as a whole, available funds, and important data. The current paper discusses the flaws of the Ethereum smart contract in this respect. By examining publically accessible scientific sources, this work aims to present thorough information about vulnerabilities, examples, and current security solutions. Additionally, a substantial collection of current Ethereum (ETH) smart contracts has undergone a static code examination to conduct the vulnerability-finding procedure. The output has undergone assessments and statistical analysis. The study's conclusions demonstrate that smart contracts have several distinct flaws, including arithmetic flaws, that developers should be more aware of. These vulnerabilities and the solutions that can be used to address them are also included.

EAI Endorsed Transactions on Internet of ThingsVol. 11
University of the Faroe Islands (FO), Bu-Ali Sina University (IR), Imam Khomeini International University (IR), Delhi Technological University (IN)
Openalex Percentile: Top 18%
Blockchain Technology Applications and Security
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Major vulnerabilities in Ethereum smart contracts: Investigation and statistical analysis — Mohammad Pishdar, Qin Xin, et al. · EAI Endorsed Transactions on Internet of Things (2024) | TGRS Research Map | TGRS