@article{ART003132718},
author={Su-An Jang and Keun-Ho Lee and SungHyun Yun},
title={A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2024},
volume={10},
number={5},
pages={119-124}
TY - JOUR
AU - Su-An Jang
AU - Keun-Ho Lee
AU - SungHyun Yun
TI - A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities
JO - Journal of Internet of Things and Convergence
PY - 2024
VL - 10
IS - 5
PB - The Korea Internet of Things Society
SP - 119
EP - 124
SN - 2466-0078
AB - Ethereum is one of the many cryptocurrencies that use smart contracts, and it is a well-known cryptocurrency today. Due to smart contracts, security, transaction speed, transparency and reliability are guaranteed, and secure cryptocurrency transactions are possible in blockchain technology. However, there are fatal vulnerabilities in smart contracts, and technologies are being developed to suppress and supplement them. Among them, one of the important problems occurring in the Ethereum network, a vulnerability to gas limit, exists. A gas limit vulnerability is used as a fee required when a smart contract is executed in Ethereum, but it can manipulate this gas cost to induce contract suspension, interfere with optimization, and cause DoS attacks. This consumes only the victim's gas, causes network congestion, and damages. In this paper, we propose a technique to prevent gas limitation vulnerabilities by detecting transaction data occurring in the Ethereum network in real time. Through this technique, it is possible to minimize indiscriminate gas loss and prevent gas limitation vulnerabilities in advance by detecting abnormal transactions.
KW - Smart Contract;Gas Limit Vulnerabilities;Real-time detection;Unified Random Forest
DO -
UR -
ER -
Su-An Jang, Keun-Ho Lee and SungHyun Yun. (2024). A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities. Journal of Internet of Things and Convergence, 10(5), 119-124.
Su-An Jang, Keun-Ho Lee and SungHyun Yun. 2024, "A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities", Journal of Internet of Things and Convergence, vol.10, no.5 pp.119-124.
Su-An Jang, Keun-Ho Lee, SungHyun Yun "A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities" Journal of Internet of Things and Convergence 10.5 pp.119-124 (2024) : 119.
Su-An Jang, Keun-Ho Lee, SungHyun Yun. A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities. 2024; 10(5), 119-124.
Su-An Jang, Keun-Ho Lee and SungHyun Yun. "A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities" Journal of Internet of Things and Convergence 10, no.5 (2024) : 119-124.
Su-An Jang; Keun-Ho Lee; SungHyun Yun. A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities. Journal of Internet of Things and Convergence, 10(5), 119-124.
Su-An Jang; Keun-Ho Lee; SungHyun Yun. A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities. Journal of Internet of Things and Convergence. 2024; 10(5) 119-124.
Su-An Jang, Keun-Ho Lee, SungHyun Yun. A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities. 2024; 10(5), 119-124.
Su-An Jang, Keun-Ho Lee and SungHyun Yun. "A Scheme Real-Time Detection Technique using Unified Random Forest to prevent Ethereum Smart Contract Gas Limit Vulnerabilities" Journal of Internet of Things and Convergence 10, no.5 (2024) : 119-124.
