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Titlebook: Blockchain Technology and Application; 6th CCF China Blockc Jianming Zhu,Qianhong Wu,Zeguang Lu Conference proceedings 2024 The Editor(s) (

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21#
發(fā)表于 2025-3-25 03:20:21 | 只看該作者
Detecting Rug Pull Scams on?Blockchain via?Feature Fused Graph Classificationzed exchanges (DEXes) have become a popular choice to trade digital assets, but they also suffer from various scams. Rug pull is a fastly increasing scam, which commits fraud by issuing meaningless tokens. To detect rug pull scams, existing methods usually employ machine learning models based on man
22#
發(fā)表于 2025-3-25 11:13:01 | 只看該作者
An Improved Hashgraph Consensus Algorithm Based on?Sharding Technology with its efficient consensus mechanism. However, the consensus process of Hashgraph suffers from issues such as multiple steps, complex procedures, poor stability, and duplicate transaction packaging. To address these problems, this paper proposes some solutions..Firstly, this model integrates shar
23#
發(fā)表于 2025-3-25 12:01:47 | 只看該作者
24#
發(fā)表于 2025-3-25 19:47:29 | 只看該作者
Online/Offline and?Fine-Grained Controllable Editing with?Accountability and?Revocability in?Blockchlatory compliance, privacy concerns, governance, and developmental stages demand a certain level of malleability in recorded data. One of the techniques for achieving editable blockchains is the use of policy-based chameleon hash functions (PCH). This enables the rewriting operations to be controlle
25#
發(fā)表于 2025-3-25 22:15:24 | 只看該作者
Optimized Cross-Chain Mechanisms for?Secure and?Reliable Domain Information Synchronization in?Blockscale. At its core, the system utilizes a mainchain for essential communication, supported by various sidechains that synchronize domain information. Initially relying on atomic swaps for transaction security, the system has undergone significant advancements to improve cross-chain interactions. Key
26#
發(fā)表于 2025-3-26 03:58:48 | 只看該作者
27#
發(fā)表于 2025-3-26 07:22:42 | 只看該作者
28#
發(fā)表于 2025-3-26 11:57:47 | 只看該作者
A Blockchain-Based Privacy-Preserving Trust and?Reputation Management for?Internet of?Vehicles pedestrians and vehicle safety have been greatly improved. However, due to the openness of IoV and the high-speed mobility of vehicles, both nodes and privacy are at risk of being attacked. In this regard, we propose a privacy-preserving trust and reputation management system based on blockchain. T
29#
發(fā)表于 2025-3-26 15:57:54 | 只看該作者
Kai Zhao,Gregory Dolan,Chris Chattertondescription. We adopted the Event-B model for logical validation to ensure the consistency of syntax and logic between the contract and code. Compared with traditional technological paths, the SLL method has shown significant advantages: SLL can serve as a conversion bridge between code and natural
30#
發(fā)表于 2025-3-26 19:50:46 | 只看該作者
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