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Titlebook: Blockchain and Trustworthy Systems; 5th International Co Jiachi Chen,Bin Wen,Ting Chen Conference proceedings 2024 The Editor(s) (if applic

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21#
發(fā)表于 2025-3-25 07:18:05 | 只看該作者
Based on Financial Characteristics to Capture the Source of Funds of the Ponzi Scheme on Ethereum wi are difficult to identify. The high returns promised by Ponzi schemes lure more and more people into the fraud. To prevent further economic losses, this paper proposes a detection method based on the financial features of Ponzi schemes and graph theory. By constructing a transaction subgraph of the
22#
發(fā)表于 2025-3-25 07:54:31 | 只看該作者
IntelliCon: Confidence-Based Approach for Fine-Grained Vulnerability Analysis in?Smart Contractsrious types of vulnerabilities that can affect their security and functionality. In this paper, we present ., a novel framework that leverages a pre-trained identifier-aware encoder-decoder CodeT5 model and confident learning to detect seven types of vulnerabilities in Ethereum smart contracts. Conf
23#
發(fā)表于 2025-3-25 12:53:45 | 只看該作者
Dynamic Computation Offloading Leveraging Horizontal Task Offloading and?Service Migration in?Edge Nbeacon of promise, epitomizing multifaceted dexterity and sound service delivery methodologies. Given the finite resource allocation of . devices, it is plausible to assert that those . devices that are burdened with arduous workloads might fail to adequately address latency-sensitive requests from
24#
發(fā)表于 2025-3-25 16:40:26 | 只看該作者
25#
發(fā)表于 2025-3-25 20:18:36 | 只看該作者
Towards Efficient and Privacy-Preserving Hierarchical Federated Learning for Distributed Edge Networy. However, when oriented to distributed resource-constrained edge devices, existing federated learning schemes still suffer from heterogeneity challenge. Hierarchical federated learning divides devices into clusters based on their resources to enhance training efficiency. In addition, there are als
26#
發(fā)表于 2025-3-26 03:06:00 | 只看該作者
Securing Blockchain Using Propagation Chain Learning losses. Vulnerability detection and repair are necessary to ensure the security of the blockchain. Currently, the-state-of-art smart contract vulnerability detection methods (e.g. Oyente and Securify) use heuristics based on human-designed algorithms, which have certain shortcomings in different ap
27#
發(fā)表于 2025-3-26 04:27:06 | 只看該作者
28#
發(fā)表于 2025-3-26 12:22:29 | 只看該作者
29#
發(fā)表于 2025-3-26 12:41:00 | 只看該作者
30#
發(fā)表于 2025-3-26 18:43:05 | 只看該作者
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