Integrating edge intelligence and blockchain: What, why, and how

X Wang, X Ren, C Qiu, Z Xiong, H Yao… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Driven by an unprecedented boom in artificial intelligence (AI) and Internet of Things (IoT),
edge intelligence (EI) pushes the frontier of AI from cloud to network edge, serving as a …

Combining graph neural networks with expert knowledge for smart contract vulnerability detection

Z Liu, P Qian, X Wang, Y Zhuang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Smart contract vulnerability detection draws extensive attention in recent years due to the
substantial losses caused by hacker attacks. Existing efforts for contract security analysis …

Rethinking smart contract fuzzing: Fuzzing with invocation ordering and important branch revisiting

Z Liu, P Qian, J Yang, L Liu, X Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Blockchain smart contracts have given rise to a variety of interesting and compelling
applications and emerged as a revolutionary force for the Internet. Smart contracts from …

Cbgru: A detection method of smart contract vulnerability based on a hybrid model

L Zhang, W Chen, W Wang, Z Jin, C Zhao, Z Cai… - Sensors, 2022 - mdpi.com
In the context of the rapid development of blockchain technology, smart contracts have also
been widely used in the Internet of Things, finance, healthcare, and other fields. There has …

[PDF][PDF] Blockchain-enabled wireless communications: a new paradigm towards 6G

J Wang, X Ling, Y Le, Y Huang, X You - National science review, 2021 - academic.oup.com
With the deployment of fifth-generation (5G) wireless networks worldwide, research on sixth-
generation (6G) wireless communications has commenced. It is expected that 6G networks …

Eth2vec: learning contract-wide code representations for vulnerability detection on ethereum smart contracts

N Ashizawa, N Yanai, JP Cruz, S Okamura - Proceedings of the 3rd ACM …, 2021 - dl.acm.org
Ethereum smart contracts are programs that run on the Ethereum blockchain, and many
smart contract vulnerabilities have been discovered in the past decade. Many security …

Smart contract vulnerability detection: from pure neural network to interpretable graph feature and expert pattern fusion

Z Liu, P Qian, X Wang, L Zhu, Q He, S Ji - arXiv preprint arXiv:2106.09282, 2021 - arxiv.org
Smart contracts hold digital coins worth billions of dollars, their security issues have drawn
extensive attention in the past years. Towards smart contract vulnerability detection …

Enhancing smart-contract security through machine learning: A survey of approaches and techniques

F Jiang, K Chao, J Xiao, Q Liu, K Gu, J Wu, Y Cao - Electronics, 2023 - mdpi.com
As blockchain technology continues to advance, smart contracts, a core component, have
increasingly garnered widespread attention. Nevertheless, security concerns associated …

Reentrancy vulnerability detection and localization: A deep learning based two-phase approach

Z Zhang, Y Lei, M Yan, Y Yu, J Chen, S Wang… - Proceedings of the 37th …, 2022 - dl.acm.org
Smart contracts have been widely and rapidly used to automate financial and business
transactions together with blockchains, helping people make agreements while minimizing …

Deep learning-based malicious smart contract and intrusion detection system for IoT environment

H Shah, D Shah, NK Jadav, R Gupta, S Tanwar… - Mathematics, 2023 - mdpi.com
The Internet of Things (IoT) is a key enabler technology that recently received significant
attention from the scientific community across the globe. It helps transform everyone's life by …