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Covert Cognizance: A Novel Predictive Modeling Paradigm
Nuclear Technology ( IF 1.5 ) Pub Date : 2021-02-01 , DOI: 10.1080/00295450.2020.1812349
Arvind Sundaram 1 , Hany Abdel-Khalik 1
Affiliation  

Abstract

Can predictive models develop cognizance or awareness of how they have been used? Can models detect if they are being manipulated or executed in nonauthorized manners? Can a software track information propagation through its subroutines to improve execution efficiency? Can this be achieved in a covert manner, i.e., avoiding the use of additional variables, additional lines of code, and conventional logging files, and instead rely directly on the physics being simulated to develop the required cognizance? Achieving these goals under the looming threat of insiders is considered an open challenging problem. This paper introduces a new modeling paradigm to covertly develop cognizance that is of critical value when predictive software is used in both adversarial and nonadversarial settings. Given the wide range of applications possible with this new modeling paradigm, the paper will focus on introducing the mathematical theory and limit the initial demonstration to a physics-based model of a nuclear reactor. This model describes a representative industrial control system of a nuclear reactor model containing two coupled subsystems: a heat-producing core and a steam generator. The goal is to demonstrate how each subsystem physics model can remain cognizant of the state of the subsystem. The proposed methodology will provide communication solutions for future reactor technologies to enable advanced reactor control and remote reactor operations.



中文翻译:

隐蔽认知:一种新颖的预测建模范式

摘要

预测模型能否培养对其使用方式的认知或意识?模型是否可以检测到它们是否以未经授权的方式被操纵或执行?软件能否通过其子程序跟踪信息传播以提高执行效率?这可以以隐蔽的方式实现,即避免使用额外的变量、额外的代码行和传统的日志文件,而是直接依赖被模拟的物理来开发所需的认知吗?在内部人员迫在眉睫的威胁下实现这些目标被认为是一个开放的具有挑战性的问题。本文介绍了一种新的建模范式,以隐蔽地开发认知,当预测软件在对抗性和非对抗性环境中使用时,这种认知具有关键价值。鉴于这种新建模范式可能有广泛的应用,本文将重点介绍数学理论,并将初步演示限制在基于物理的核反应堆模型。该模型描述了包含两个耦合子系统的核反应堆模型的代表性工业控制系统:发热芯和蒸汽发生器。目标是演示每个子系统物理模型如何保持对子系统状态的认知。拟议的方法将为未来的反应堆技术提供通信解决方案,以实现先进的反应堆控制和远程反应堆操作。该模型描述了包含两个耦合子系统的核反应堆模型的代表性工业控制系统:发热芯和蒸汽发生器。目标是演示每个子系统物理模型如何保持对子系统状态的认知。拟议的方法将为未来的反应堆技术提供通信解决方案,以实现先进的反应堆控制和远程反应堆操作。该模型描述了包含两个耦合子系统的核反应堆模型的代表性工业控制系统:发热芯和蒸汽发生器。目标是演示每个子系统物理模型如何保持对子系统状态的认知。拟议的方法将为未来的反应堆技术提供通信解决方案,以实现先进的反应堆控制和远程反应堆操作。

更新日期:2021-02-01
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