Cognitive Dynamic Systems for Cybersecurity

网络安全认知动态系统

基本信息

  • 批准号:
    RGPIN-2019-06931
  • 负责人:
  • 金额:
    $ 2.48万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2020
  • 资助国家:
    加拿大
  • 起止时间:
    2020-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

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.
该研究计划旨在控制网络安全,特别是在环境中意外存在的不确定性;更重要的是,网络安全已经追溯到二十多年前,每年都在恶化。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)的四个主题下: 认知,它植根于五个原则:感知-行动周期(PAC),注意力,记忆力,智力和语言。 2.复杂的预测性适应,涉及过去在不存在不确定性的情况下获得的经验。 iii)开关,其以两种不同的方式起作用,即在不存在不确定性的情况下打开,以及在意外存在不确定性的情况下关闭。 iv)分流循环,垂直和水平耦合,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人工智能(AI)在一个全新的机器的一侧,体现和CDS在另一侧。净结果如下: 不存在不确定性:AI开启,CDS关闭;在第一种情况下,AI以常规方式运行,而CDS不活动。 不确定性的意外存在:AI关闭,CDS打开;在第二种情况下,AI受到保护,免受网络攻击,而CDS则定位于利用复杂的预测适应来控制网络安全。 网络攻击是一种机制,是作为系统中的一种不确定性形式引入的。 对于这个研究项目,我将追求四个短期目标: i)用于自动驾驶汽车的车对车通信的认知动态系统 ii)用于安全复杂无线通信的认知动态系统 iii)用于安全智能网格的认知动态系统 ㈣人工智能和认知动态系统共同发挥作用,促进网络安全 本文描述的四个项目都植根于网络安全及其特殊情况:网络物理系统。网络安全的决心可以追溯到五年前,在此背景下,第一篇关于物理系统认知风险控制的论文于2017年8月首次发表。第一篇关于网络安全的论文于2018年7月初发表;最重要的是,这种新的思维方式植根于认知神经科学,重点是认知,复杂的预测适应,开关和分流周期。最后,2012年在我的实验室提出了大脑模拟认知动力学系统的想法。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Haykin, Simon其他文献

Cognitive Control
  • DOI:
    10.1109/jproc.2012.2215773
  • 发表时间:
    2012-12-01
  • 期刊:
  • 影响因子:
    20.6
  • 作者:
    Haykin, Simon;Fatemi, Mehdi;Xue, Yanbo
  • 通讯作者:
    Xue, Yanbo
Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations
  • DOI:
    10.1109/tsp.2010.2056923
  • 发表时间:
    2010-10-01
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Arasaratnam, Ienkaran;Haykin, Simon;Hurd, Thomas R.
  • 通讯作者:
    Hurd, Thomas R.
Data association for target tracking rooted in maximum-likelihood values
  • DOI:
    10.1049/iet-rsn.2017.0162
  • 发表时间:
    2018-02-01
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Santos, Eduardo;Haykin, Simon
  • 通讯作者:
    Haykin, Simon
Cognitive Risk Control for Transmit-Waveform Selection in Vehicular Radar Systems
Robust Transmit Power Control for Cognitive Radio
  • DOI:
    10.1109/jproc.2009.2015718
  • 发表时间:
    2009-05-01
  • 期刊:
  • 影响因子:
    20.6
  • 作者:
    Setoodeh, Peyman;Haykin, Simon
  • 通讯作者:
    Haykin, Simon

Haykin, Simon的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Haykin, Simon', 18)}}的其他基金

Cognitive Dynamic Systems for Cybersecurity
网络安全认知动态系统
  • 批准号:
    RGPIN-2019-06931
  • 财政年份:
    2022
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Discovery Grants Program - Individual
Cognitive Dynamic Systems for Cybersecurity
网络安全认知动态系统
  • 批准号:
    RGPIN-2019-06931
  • 财政年份:
    2021
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Discovery Grants Program - Individual
Cognitive Dynamic Systems for Cybersecurity
网络安全认知动态系统
  • 批准号:
    RGPIN-2019-06931
  • 财政年份:
    2019
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Discovery Grants Program - Individual
Cognitive Dynamic Networks
认知动态网络
  • 批准号:
    RGPIN-2014-04464
  • 财政年份:
    2018
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Discovery Grants Program - Individual
Cognitive Dynamic Networks
认知动态网络
  • 批准号:
    RGPIN-2014-04464
  • 财政年份:
    2017
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Discovery Grants Program - Individual
Cognitive Dynamic Networks
认知动态网络
  • 批准号:
    RGPIN-2014-04464
  • 财政年份:
    2016
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Discovery Grants Program - Individual
Cognitive Dynamic Networks
认知动态网络
  • 批准号:
    RGPIN-2014-04464
  • 财政年份:
    2015
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Discovery Grants Program - Individual
Cognitive Dynamic Networks
认知动态网络
  • 批准号:
    RGPIN-2014-04464
  • 财政年份:
    2014
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Discovery Grants Program - Individual
Cognitive radio networks
认知无线电网络
  • 批准号:
    5152-2009
  • 财政年份:
    2013
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Discovery Grants Program - Individual
Cognitive radio networks
认知无线电网络
  • 批准号:
    5152-2009
  • 财政年份:
    2012
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Discovery Grants Program - Individual

相似国自然基金

Dynamic Credit Rating with Feedback Effects
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    外国学者研究基金项目

相似海外基金

ERI: Data-Driven Analysis and Dynamic Modeling of Residential Power Demand Behavior: Using Long-Term Real-World Data from Rural Electric Systems
ERI:住宅电力需求行为的数据驱动分析和动态建模:使用农村电力系统的长期真实数据
  • 批准号:
    2301411
  • 财政年份:
    2024
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Standard Grant
High-Field Solid-State Dynamic Nuclear Polarization with Paramagnetic Systems Beyond Simple Spin 1/2
超越简单自旋的顺磁系统高场固态动态核极化 1/2
  • 批准号:
    2411584
  • 财政年份:
    2024
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Standard Grant
CAREER: Set-Based Dynamic Modeling and Control for Trustworthy Energy Management Systems
职业:可信赖的能源管理系统的基于集的动态建模和控制
  • 批准号:
    2336007
  • 财政年份:
    2024
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Standard Grant
CAREER: Energy Storage Systems for Dynamic Reliability of Modern Clean Smart Grid
职业:用于现代清洁智能电网动态可靠性的储能系统
  • 批准号:
    2339456
  • 财政年份:
    2024
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Continuing Grant
MYRTUS: Multi-layer 360° dYnamic orchestrion and interopeRable design environmenT for compute-continUum Systems
MYRTUS:用于连续计算系统的多层 360° 动态编排和可互操作设计环境
  • 批准号:
    10087666
  • 财政年份:
    2024
  • 资助金额:
    $ 2.48万
  • 项目类别:
    EU-Funded
Advancing Controlled Environment Agriculture (CEA) with Dynamic LED Lighting Systems and Artificial Intelligence
利用动态 LED 照明系统和人工智能推进受控环境农业 (CEA)
  • 批准号:
    BB/Z514330/1
  • 财政年份:
    2024
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Research Grant
CSR: Small: Modernizing Dynamic Binary Translation Systems
CSR:小型:现代化动态二进制翻译系统
  • 批准号:
    2330752
  • 财政年份:
    2024
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Small: Technical Debt Management in Dynamic and Distributed Systems
合作研究:SHF:小型:动态和分布式系统中的技术债务管理
  • 批准号:
    2232720
  • 财政年份:
    2023
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Standard Grant
CAREER: Evolutionary Games in Dynamic and Networked Environments for Modeling and Controlling Large-Scale Multi-agent Systems
职业:动态和网络环境中的进化博弈,用于建模和控制大规模多智能体系统
  • 批准号:
    2239410
  • 财政年份:
    2023
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Continuing Grant
The process of self-regulated learning in English language learning from the complex dynamic systems approach
从复杂动态系统方法看英语学习中的自我调节学习过程
  • 批准号:
    23K12243
  • 财政年份:
    2023
  • 资助金额:
    $ 2.48万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了