利用人工免疫系统开发复杂技术系统安全评估方法

A. Shyshatskyi, Tetiana Stasiuk, Viacheslav Filipov, O. Nalapko, Nadiia Protas, Dmytro Berezanskyi, M. Zinchenko, Oleksandr Sovik, Vasily Makarchuk, Vitaliy Nechyporuk
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引用次数: 0

摘要

要确保具有各种功能的复杂技术系统的安全,就必须不断寻求新的科学和实用方法,以确保其在应对日益增多的新风险和新威胁时保持适当水平。如今,世界上没有任何一个国家能够孤立地致力于人工智能的创造和实施。人工智能技术被积极用于解决社会各领域的一般和高度专业化任务。复杂技术过程的综合管理问题是管理理论的一项紧迫任务。设计此类复杂程序的一个有前途的方向是使用生物启发算法,这些算法在解决优化任务时得到了有效利用。因此,研究对象是复杂技术系统。研究对象是复杂技术系统的状态安全。研究开发了一种利用人工免疫系统评估复杂技术系统安全性的方法。该方法的新颖之处在于- 在计算复杂技术系统状态不确定程度的校正系数时考虑到这一因素; - 在评估复杂技术系统状态时降低计算成本; - 改进解决复杂技术系统中影响关系任务的程序执行; - 创建多层次和相互关联的分级复杂技术系统描述; - 使用不同性质和计量单位的源数据进行计算的可能性。建议在用于分析复杂技术系统状态和决策的专业软件中实施上述技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The development of a method for assessing the security of complex technical systems using artificial immune systems
Ensuring the security of complex technical systems of various functional purposes requires a constant search for new scientific and practical approaches in order to ensure its proper level against a growing list of new risks and threats. Nowadays, no state in the world is able to work on the creation and implementation of artificial intelligence in isolation from others. Artificial intelligence technologies are actively used to solve both general and highly specialized tasks in various spheres of society. The problem of synthesis of management of complex technological processes is an urgent task in management theory. A promising direction in the design of such complex ones is the use of bio-inspired algorithms that are effectively used while solving optimization tasks. Thus, the object of research is complex technical systems. The subject of research is the state security of complex technical systems. The research developed a method for assessing the security of complex technical systems using artificial immune systems. The novelty of the proposed method consists in: ‒ taking into account while calculating the correction factor for the degree of uncertainty about the state of a complex technical system; ‒ reducing computing costs while assessing the state of a complex technical system; ‒ improved implementation of procedures for solving the task of influencing relationships in a complex technical system; ‒ creating a multi-level and interconnected description of hierarchical complex technical systems; ‒ the possibility of performing calculations with source data that are different in nature and units of measurement. It is advisable to implement the mentioned technique in specialized software, which is used to analyze the state of complex technical systems and make decisions.
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