Cognitive Dynamic Systems for Cybersecurity

这个研究项目的目的是在不确定性的意外存在下控制网络安全，特别是在环境中；更重要的是，网络安全已经倒退了二十多年，一年比一年更糟。这个具有挑战性的问题的解决方案存在于认知动态系统（CDS）中，分为四个主题：***i)认知，它植根于五个原则：感知-行动循环（PAC），注意力，记忆，智力和语言。***ii)复杂的预测适应，包括在不确定的情况下获得的过去经验。***iii)开关，它在两个不同的折叠中起作用，即在没有不确定性时开，在意外存在不确定性时关。***iv)分流周期，这是纵向和横向相互耦合的，涉及多层的感知和执行，导致大量的反馈循环。******网络安全的一个例子是，一台全新的机器的一侧是人工智能（AI），另一侧是cd。最终结果描述如下：***不确定性：AI为On， CDS为Off；在第一个场景中，AI以常规方式运行，而CDS处于非活动状态。***意外存在的不确定性：AI是关闭的，CDS是打开的；在第二种情况下，人工智能可以免受网络攻击，而CDS则可以利用复杂的预测适应性来控制网络安全。***网络攻击是作为系统不确定性的一种形式引入的一种机制。******对于本研究计划，我将追求四个短期目标：****** I)自动驾驶汽车车对车通信的认知动态系统***ii)安全复杂无线通信的认知动态系统***iii)安全智能电网的认知动态系统***iv)人工智能和认知动态系统共同作用于网络安全******本文描述的四个项目都植根于网络安全及其特殊情况：Cyber-physical系统。网络安全的确定可以追溯到五年前，在此背景下，第一篇关于为物理系统引入认知风险控制的论文（网络物理系统的另一种说法）于2017年8月首次发表。第一篇关于网络安全的论文于2018年7月初提交发表；最重要的是，这种新的思维方式植根于认知神经科学，强调认知、复杂的预测适应、开关和分流周期。最后，大脑模拟认知动力系统的想法起源于2012年我的实验室。

This research program is aimed at bringing Cybersecurity under control in the unexpected presence of uncertainty particularly, so in the environment; all the more so, Cybersecurity has been going back for over twenty years with it getting worse from one year to the next. The solution to this challenging problem resides in Cognitive Dynamic System (CDS) under four topics:***i) Cognition, which is rooted under five principles: perception-action cycle (PAC), attention, memory, intelligence, and language.***ii) Complex predictive adaptation, which involves past experience gained during the absence of uncertainty.***iii) Switches, which function in two different folds, namely On in the absence of uncertainty and Off in the unexpected presence of uncertainty.***iv) Shunt Cycles, which are reciprocally coupled vertically as well as horizontally that involve both perception and executive for multiple-layers that result in large numbers of feedback loops.******An example of Cybersecurity is Artificial Intelligence (AI) on one side of a brand new machine that embodies and CDS on the other side. The net result is described as follows:*** Absence of uncertainty: AI is On and CDS is Off; in this first scenario, AI functions in a regular fashion while CDS is inactive.*** Unexpected presence of uncertainty: AI is Off and CDS is On; in this second scenario, AI is protected from Cyberattack while CDS is positioned to exploit the complex predictive adaptation to bring Cybersecurity under control.*** Cyberattack is a mechanism that is introduced as a form of uncertainty in the system.******For this research program, I will pursue four short-term objectives:******i) Cognitive dynamic system for vehicle-to-vehicle communications for self-driving cars***ii) Cognitive dynamic system for secure complex wireless communications***iii) Cognitive dynamic system for secure smart gird***iv) Artificial intelligence and cognitive dynamic system functioning together for cybersecurity******The four projects described herein are all rooted in Cybersecurity and its special case: Cyber-physical Systems. The determination for Cybersecurity goes back five years, in the context of which the first paper on bringing Cognitive Risk Control for Physical Systems, another way of referring to Cyber-physical Systems, was first published in August 2017. The first paper on Cybersecurity was presented for publication at the beginning of July, 2018; most importantly, this new way of thinking is rooted in Cognitive Neuroscience with emphasis on cognition, complex predictive adaptation, switches, and shunt cycles. Lastly, the ides of Cognitive Dynamic System simulated by the brain originated in my lab in the year 2012.