提高支持组织中知识存储的IT系统安全性的概念

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS Systems Science & Control Engineering Pub Date : 2022-08-06 DOI:10.1080/21642583.2022.2102550
Paweł Moszczyński, Maciej Moszczyński, Patrycja Bryczek-Wróbel, M. Kapalka, Tomasz Drozdowski, Jarosław Wróbel
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引用次数: 0

摘要

本文提出了提高用于在组织中存储知识的信息系统的安全性的概念。它旨在保护知识不被泄露、盗窃或破坏,但不拒绝员工访问其资源。这要归功于所谓的安全和共享小组(S&S小组)的引入,它们同时具有两个属性——知识安全水平和知识共享水平。所提出的概念还假设将知识类别分配给数据,并使组织能够管理从单个知识类别到S&S组的数据操作分配。因此,该系统能够保护最有价值的知识资源,而不限制对其其他类别的访问。所开发的概念使得在系统实现时更容易在安全性的强度和知识的自由流动之间找到折衷方案。此外,在系统中选择安全级别和获取知识级别的动态能力允许适应组织环境中发生的变化,并提高其弹性。
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The concept of improving the security of IT systems supporting the storage of knowledge in organizations
This article presents the concept of improving the security of information systems intended for storing knowledge in organizations. It is designed to protect knowledge from leakage, theft or destruction, but without denying access to its resources to employees. It is possible thanks to the introduction of the so-called security and sharing groups (S&S groups) that have two attributes at the same time – the level of knowledge security and the level of knowledge sharing. The proposed concept also assumes assigning knowledge categories to data and enabling the organization to manage the allocation of operations on data from individual knowledge categories to S&S groups. As a result, the system enables the protection of the most valuable knowledge resources, without restricting access to its other categories. The developed concept makes it easier to find a compromise between the strength of security and the free flow of knowledge at the time of system implementation. In addition, the dynamic ability to choose the level of security and the level of access to knowledge in the system allows adaptation to changes taking place in the environment of the organization and increases its resilience.
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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