Hui Li

TL;DR: This survey considered 15 security vulnerabilities in smart contracts and introduced the vulnerable areas and the causes of vulnerabilities, and found that a new attack cannot be detected by existing detection tools if the vulnerability without pre-defined is found.

TL;DR: Wang et al. as discussed by the authors proposed a user's data storage model of DApp based on IPFS to reduce the storage cost of data, and designs a set of hot-swapping smart contract architecture based on contract address to manage DApp user data, so as to meet the functional business replacement in the later stage of smart contract.

TL;DR: Wang et al. as discussed by the authors proposed a lightweight smart contract vulnerability detection model based on Convolutional Neural Networks (CNN), which can automatically detect the vulnerabilities in the smart contract on a lightweight computer without expert knowledge.

TL;DR: The model uses convolutional neural network, back propagation algorithm and Long Short-Term memory neural network to learn various network security indicators to achieve a comprehensive assessment of the network and shows that it can more easily and accurately evaluate the network security status.

TL;DR: This article comprehensively analyzed the impact of the consensus mechanism on IoT security and proposed to classify current IoT security issues from three perspectives: data security, communication security, and application security.