Ethereum smart contract analysis tools: A systematic review

SS Kushwaha, S Joshi, D Singh, M Kaur, HN Lee - Ieee Access, 2022 - ieeexplore.ieee.org
Blockchain technology and its applications are gaining popularity day by day. It is a ground-
breaking technology that allows users to communicate without the need of a trusted …

Security threat mitigation for smart contracts: A comprehensive survey

N Ivanov, C Li, Q Yan, Z Sun, Z Cao, X Luo - ACM Computing Surveys, 2023 - dl.acm.org
The blockchain technology, initially created for cryptocurrency, has been re-purposed for
recording state transitions of smart contracts—decentralized applications that can be …

Smart contract vulnerability detection model based on multi-task learning

J Huang, K Zhou, A **ong, D Li - Sensors, 2022 - mdpi.com
The key issue in the field of smart contract security is efficient and rapid vulnerability
detection in smart contracts. Most of the existing detection methods can only detect the …

A survey on smart contract vulnerabilities: Data sources, detection and repair

H Chu, P Zhang, H Dong, Y **ao, S Ji, W Li - Information and Software …, 2023 - Elsevier
Smart contracts contain many built-in security features, such as non-immutability once being
deployed and non-involvement of third parties for contract execution. These features reduce …

AI-enhanced blockchain technology: A review of advancements and opportunities

D Ressi, R Romanello, C Piazza, S Rossi - Journal of Network and …, 2024 - Elsevier
Blockchain technology has rapidly gained popularity, permeating various fields due to its
inherent features of security, transparency, and decentralization. Blockchain-based …

Learning approximate execution semantics from traces for binary function similarity

K Pei, Z Xuan, J Yang, S Jana… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Detecting semantically similar binary functions–a crucial capability with broad security
usages including vulnerability detection, malware analysis, and forensics–requires …

Digital forensic framework for smart contract vulnerabilities using ensemble models

L JJ, K Singh, B Chakravarthi - Multimedia Tools and Applications, 2024 - Springer
Forensic identification of vulnerabilities in Ethereum based smart contract has received
significant interest among security agencies and researchers because it normally manages …

Abnormal transactions detection in the ethereum network using semi-supervised generative adversarial networks

YK Sanjalawe, SR Al-E'mari - IEEE Access, 2023 - ieeexplore.ieee.org
Numerous abnormal transactions have been exposed as a result of targeted attacks on
Ethereum, such as the Ethereum Decentralized Autonomous Organization attack. Exploiting …

Beyond “Protected” and “Private”: An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts

Y Fang, D Wu, X Yi, S Wang, Y Chen, M Chen… - Proceedings of the …, 2023 - dl.acm.org
A smart contract is a piece of application-layer code running on blockchain ledgers and it
provides programmatic logic via transaction-based execution of pre-defined functions. Smart …

EtherGIS: a vulnerability detection framework for Ethereum smart contracts based on graph learning features

Q Zeng, J He, G Zhao, S Li, J Yang… - 2022 IEEE 46th …, 2022 - ieeexplore.ieee.org
The financial property of Ethereum makes smart contract attacks frequently bring about
tremendous economic loss. Method for effective detection of vulnerabilities in contracts …