Cyber Security And Threat Intelligence

拟议中的加拿大网络安全和威胁情报研究主席将开发人工智能辅助的网络威胁识别，分析和补救技术，以保护加拿大的关键基础设施，如管道，涡轮机，智能电网和智能交通系统，免受网络攻击。具体目标包括：开发资产发现和威胁关联引擎;建立基于人工智能的网络威胁搜索模型;开发收集和分享网络威胁情报的智能系统;开发决策支持系统，告知安全专家如何防御和应对网络攻击;建立模糊学习系统，用于关键基础设施的风险评估。

The proposed Canada Research Chair in Cybersecurity and Threat Intelligence will develop artificial intelligence-aided cyber threat identification, analysis and remediation technologies to protect Canada¿s critical infrastructure, such as pipelines, turbines, smart grids, and smart transport systems, from cyber-attacks. Specific objectives include: developing asset discovery and threat correlation engines; building artificial intelligence-based models for cyber threat hunting; developing intelligent systems to gather and share cyber threat intelligence; developing decision support systems to inform security experts in how to defend against and respond to cyber-attacks; and building fuzzy learning systems for risk assessment in critical infrastructure.