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2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)最新文献

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MARTSIA: Enabling Data Confidentiality for Blockchain-based Process Execution MARTSIA:为基于区块链的流程执行启用数据机密性
Edoardo Marangone, Claudio Di Ciccio, D. Friolo, E. Nemmi, D. Venturi, I. Weber
Multi-party business processes rely on the collaboration of various players in a decentralized setting. Blockchain technology can facilitate the automation of these processes, even in cases where trust among participants is limited. Transactions are stored in a ledger, a replica of which is retained by every node of the blockchain network. The operations saved thereby are thus publicly accessible. While this enhances transparency, reliability, and persistence, it hinders the utilization of public blockchains for process automation as it violates typical confidentiality requirements in corporate settings. In this paper, we propose MARTSIA: A Multi-Authority Approach to Transaction Systems for Interoperating Applications. MARTSIA enables precise control over process data at the level of message parts. Based on Multi-Authority Attribute-Based Encryption (MA-ABE), MARTSIA realizes a number of desirable properties, including confidentiality, transparency, and auditability. We implemented our approach in proof-of-concept prototypes, with which we conduct a case study in the area of supply chain management. Also, we show the integration of MARTSIA with a state-of-the-art blockchain-based process execution engine to secure the data flow.
多方业务流程依赖于分散环境中各种参与者的协作。区块链技术可以促进这些过程的自动化,即使在参与者之间的信任有限的情况下也是如此。交易存储在分类账中,区块链网络的每个节点都保留该分类账的副本。因此,由此保存的操作是可公开访问的。虽然这提高了透明度、可靠性和持久性,但它阻碍了公共区块链用于流程自动化的使用,因为它违反了企业环境中典型的保密要求。在本文中,我们提出了MARTSIA:一种用于互操作应用的事务系统的多授权方法。MARTSIA能够在消息部分级别对过程数据进行精确控制。基于多权威属性加密(MA-ABE), MARTSIA实现了许多理想的属性,包括机密性、透明性和可审计性。我们在概念验证原型中实现了我们的方法,我们在供应链管理领域进行了案例研究。此外,我们展示了MARTSIA与最先进的基于区块链的流程执行引擎的集成,以确保数据流的安全。
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引用次数: 1
Shape Your Process: Discovering Declarative Business Processes from Positive and Negative Traces Taking into Account User Preferences 塑造您的流程:在考虑用户偏好的情况下,从正面和负面痕迹中发现声明性业务流程
Pub Date : 2022-01-01 DOI: 10.1007/978-3-031-17604-3_13
F. Chesani, Chiara Di Francescomarino, Chiara Ghidini, Giulia Grundler, Daniela Loreti, F. Maggi, P. Mello, M. Montali, Sergio Tessaris
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引用次数: 1
Enterprise Architecture Management Support for Digital Transformation Projects in Very Large Enterprises: A Case Study at a European Mobility Provider 大型企业数字化转型项目的企业架构管理支持:欧洲移动提供商的案例研究
O. Kanin, P. Drews
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引用次数: 1
A Multi-level Cyber-Security Reference Model in Support of Vulnerability Analysis 支持漏洞分析的多层次网络安全参考模型
Simon Hacks, Monika Kaczmarek-Heß, S. Kinderen, Daniel Töpel
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引用次数: 3
Computable Consent - From Regulatory, Legislative, and Organizational Policies to Security Policies 可计算的同意-从监管,立法和组织政策到安全政策
Z. Milosevic, F. Pyefinch
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引用次数: 0
Extracting Business Process Entities and Relations from Text Using Pre-trained Language Models and In-Context Learning 使用预训练语言模型和上下文学习从文本中提取业务流程实体和关系
Pub Date : 2022-01-01 DOI: 10.1007/978-3-031-17604-3_11
Patrizio Bellan, M. Dragoni, Chiara Ghidini
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引用次数: 10
Splitting Quantum-Classical Scripts for the Generation of Quantum Workflows 用于生成量子工作流的分裂量子经典脚本
Pub Date : 2022-01-01 DOI: 10.1007/978-3-031-17604-3_15
Daniel Vietz, Johanna Barzen, F. Leymann, Benjamin Weder
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引用次数: 0
Enhanced Transformation of BPMN Models with Cancellation Features 带有消去特征的BPMN模型的增强变换
G. Lomidze, Daniel Schuster, Chiao-Yun Li, S. V. Zelst
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引用次数: 0
Modeling, Executing and Monitoring IoT-Driven Business Rules with BPMN and DMN: Current Support and Challenges 用BPMN和DMN建模、执行和监控物联网驱动的业务规则:当前的支持和挑战
Yusuf Kirikkayis, Florian Gallik, M. Reichert
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引用次数: 0
Security Ontologies: A Systematic Literature Review 安全本体:系统的文献回顾
Malina Adach, Kaj Hänninen, K. Lundqvist
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引用次数: 2
期刊
2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)
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