具有定时动态关系和共享用户的多工作流安全协作方案分析

IF 8.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Yanhua Du;Hua Zhang;Hesuan Hu
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引用次数: 0

摘要

在工作流管理领域,分析具有动态关系和共享用户的多工作流过程的安全协作计划是近年来的一个研究热点。然而,现有的研究工作既没有考虑时间动态关系(tdr)的时间限制,也没有分析共享用户导致的活动延迟时间。本文提出了一种分析具有tdr和用户冲突的多工作流过程安全协作计划的新方法:1)提出了具有tdr和共享用户的工作流过程中基本结构的计算模式;2)在此基础上开发了下一代参数化发芽图(NPSG);3)得到了基于NPSG的最优安全协作方案。与现有方法相比,我们的方法可以有效地处理具有tdr和共享用户的协作计划问题。此外,我们的方法更高效,因为多个工作流过程的NPSG可以并行构建,并且通过提前删除无效路径来提高其推荐能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Secure Collaboration Plans for Multiple Workflow Processes With Timed Dynamic Relations and Shared Users
In the field of workflow management, a recent hot research point is to analyze secure collaboration plans of multiple workflow processes with dynamic relations and shared users. However, existing research works neither consider the time limits of timed dynamic relations (TDRs), nor analyze the delayed time of activities caused by shared users. In this article, we propose a new approach to analyzing secure collaboration plans of multiple workflow processes with TDRs and user conflicts: 1) we propose the computing patterns for basic structures in workflow processes with TDRs and shared users; 2) we develop the next-generation parametric sprouting graph (NPSG) based on the above patterns; and 3) we obtain the optimal secure collaboration plan based on NPSG. Compared with the existing methods, our approach can effectively deal with the problem of collaboration plans with TDRs and shared users. Furthermore, our approach is more efficient, because NPSG of multiple workflow processes can be constructed in parallel and its recommendation ability is improved by deleting invalid paths in advance.
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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