检索结果-内蒙古大学图书馆

3rd International Conference on Computer Science and blockchain, CCSB 2023

作者： Wang, Feng Lu, Yang Liu, Yang Zhang, Zhiruo Henan university of technology Distributed Computing & BlockChain Lab Zhengzhou China

ISBN: (纸本)9798350359077

Aiming to address the data security issues in data sharing, current approaches such as RBAC, ABAC, and blockchain-based data sharing platforms suffer from problems like role redundancy, role abuse, complex authorization, and data user privacy leakage. In response, a role-based trusted transfer access control model based on trust and attributes is proposed. This model is built upon Attribute-Based Access Control (ABAC) while integrating Role-Based Access Control (RBAC). Users obtain roles based on their attributes and trust levels, and roles determine access permissions based on trust level and defined policies, and then determine the transferability of roles, at the same time, the transfer of roles is limited by trust levels. Encryption techniques and off-chain storage systems are utilized to protect data privacy and integrity, thereby alleviating the storage pressure on the blockchain. Finally, the performance and effectiveness of the proposed model were evaluated through experimental analysis, demonstrating its capability to achieve trustworthy role transfer and enhance the security and privacy of on-chain sharing schemes. © 2023 IEEE.

关键词： blockchain

来源：评论

学校读者我要写书评

暂无评论

PGS-BFT: A Pipeline-Based Graph Structure Byzantine Fault Tolerance Consensus Algorithm 3

PGS-BFT: A Pipeline-Based Graph Structure Byzantine Fault To...

引用

3rd International Conference on Computer Science and blockchain, CCSB 2023

作者： Chen, Jingwen Liu, Yang Liu, Xinlei Peng, Song Henan university of technology Distributed Computing & BlockChain Lab Zhengzhou China

ISBN: (纸本)9798350359077

The Byzantine fault-tolerant (BFT) consensus algorithm is widely used in blockchain systems due to its ability to tolerate malicious nodes and ensure system consistency. However, existing consensus protocols still face significant challenges. This paper proposes a pipeline-based graph structure Byzantine Fault Tolerant (PGS-BFT) consensus algorithm. It leverages parallel pipeline execution to accelerate block generation efficiency. By synchronizing block dependencies among nodes, all validated blocks eventually form an ordered graph structure within a cycle, enabling nodes to achieve final consensus. The proposed PGS-BFT algorithm effectively improves system consensus efficiency and reduces transaction latency while ensuring Byzantine fault-tolerant security. It can be applied to existing consortium blockchain platforms. © 2023 IEEE.

关键词： blockchain

来源：评论

学校读者我要写书评

暂无评论

PGS-BFT: A Pipeline-Based Graph Structure Byzantine Fault Tolerance Consensus Algorithm

PGS-BFT: A Pipeline-Based Graph Structure Byzantine Fault To...

引用

Computer Science and blockchain (CCSB), International Conference on

作者： Jingwen Chen Yang Liu Xinlei Liu Song Peng Distributed Computing & BlockChain Lab Henan university of technology Zhengzhou China

关键词：

来源：评论

学校读者我要写书评

暂无评论

RTTAC-An Access Control Model Based on blockchain and Role-Trusted Transfer

RTTAC-An Access Control Model Based on Blockchain and Role-T...

引用

Computer Science and blockchain (CCSB), International Conference on

作者： Feng Wang Yang Lu Yang Liu Zhiruo Zhang Henan university of technology Distributed Computing & BlockChain Lab Zhengzhou China

关键词：

来源：评论

学校读者我要写书评

暂无评论

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture

arXiv

引用

arXiv 2024年

作者： Yang, Zhengxin Gao, Wanling Peng, Luzhou Huang, Yunyou Tang, Fei Zhan, Jianfeng Research Center of Distributed Systems Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China Key Lab of Education Blockchain and Intelligent Technology Ministry of Education Guangxi Normal University China Inspur Group Co. Ltd. China Jinan Inspur Data Technology Co. Ltd. China

Designing and optimizing neural network architectures typically requires extensive expertise, starting with handcrafted designs and then manual or automated refinement. This dependency presents a significant barrier to rapid innovation. Recognizing the complexity of automatically generating neural network architecture from scratch, we introduce Younger, a pioneering dataset to advance this ambitious goal. Derived from over 174K real-world models across more than 30 tasks from various public model hubs, Younger includes 7,629 unique architectures, and each is represented as a directed acyclic graph with detailed operator-level information. The dataset facilitates two primary design paradigms: global, for creating complete architectures from scratch, and local, for detailed architecture component refinement. By establishing these capabilities, Younger contributes to a new frontier, Artificial Intelligence-Generated Neural Network Architecture (AIGNNA). Our experiments explore the potential and effectiveness of Younger for automated architecture generation and, as a secondary benefit, demonstrate that Younger can serve as a benchmark dataset, advancing the development of graph neural networks. We release the dataset2 and code3 publicly to lower the entry barriers and encourage further research in this challenging area. Copyright © 2024, The Authors. All rights reserved.

关键词： Graph neural networks

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：