课题基金 / 基金详情

Situation analysis in cybersecurity, criminal intelligence and maritime security

Situation analysis in cybersecurity, criminal intelligence and maritime security
网络安全、犯罪情报和海事安全的形势分析
批准号:
RGPIN-2018-06136
负责人:
Glässer, Uwe
金额:
$4.08万
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:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

项目摘要

项目成果

Glässer, Uwe的其他基金

相似基金

相关文献

中文摘要
翻译
非法网络和犯罪活动威胁着我们的关键基础设施、经济和商业以及公共安全,“将各个点连接起来”有助于确定优先事项,以决定如何最佳地利用资源,以最大限度地发挥作用。这种情况要求在使用尖端数据分析和社会网络分析方法方面取得根本性进展,将警方报告的犯罪、情报收集和监视行动中的大量数据转化为可操作的信息和知识。对非法活动的早期干预显然比事后进行冗长的调查更为经济和有效。该研究计划旨在创新方法和正式分析框架,以推进数据挖掘和社会网络分析算法的设计、集成、验证和评估,并支持与非法网络和犯罪行动相关的态势分析和情报收集工具。该研究项目的范围涵盖网络安全、刑事情报和海上安全。在现有专业知识和经验的基础上,与政府机构、领域专家、行业合作伙伴和学术研究人员以及现有的公共安全和安全高性能计算实验室基础设施进行当前和未来的合作,以开展研究。该研究计划的长期目标是建立一个卓越的“大数据智能”跨学科研究中心,以满足这些领域对先进研究和HQP培训日益增长的需求。除了回答紧迫的研究问题外,该项目还为政府部门(执法、情报服务、国防)、加拿大信息通信技术和卫星工业部门提供尖端的HQP培训。
英文摘要
Illicit networks and criminal operations threaten our critical infrastructure, economy and businesses, and public safety connecting the dots’ to help determine priorities for deciding on the best use of resources to maximize impact. This situation calls for radical advances in using cutting-edge data analytics and social network analysis methods to transform abundant data from police-reported crime, intelligence gathering and surveillance operations into actionable information and knowledge. Early intervention in illicit activities is evidently more economical and more effective than lengthy investigations after the fact.This research program aims at innovative methodologies and formal analytic frameworks for advancing design, integration, validation and evaluation of data mining and social network analysis algorithms and supporting tools for situation analysis and intelligence gathering related to illicit networks and criminal operations. The scope of the research program spans cybersecurity, criminal intelligence and maritime security. Building on existing expertise and experience, current and expected future collaborations with government agencies, domain experts, industry partners and academic researchers as well as the existing Public Safety and Security secure-High Performance Computing Laboratory infrastructure to carry out the research, the long-term objective of this research program is to establish a centre of excellence and interdisciplinary research institute for ‘big data intelligence’ to serve growing demand for advanced research and HQP training in these fields. Beyond answering pressing research questions, the program offers cutting-edge HQP training for government sectors (law enforcement, intelligence services, National Defence), Canada’s ICT and satellite industry sectors.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Situation analysis in cybersecurity, criminal intelligence and maritime security
  • 批准号:
    RGPIN-2018-06136
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2021
  • 负责人:
    Glässer, Uwe
  • 依托单位:
Situation analysis in cybersecurity, criminal intelligence and maritime security
  • 批准号:
    RGPIN-2018-06136
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2020
  • 负责人:
    Glässer, Uwe
  • 依托单位:
Situation analysis in cybersecurity, criminal intelligence and maritime security
  • 批准号:
    RGPIN-2018-06136
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2019
  • 负责人:
    Glässer, Uwe
  • 依托单位:
Situation analysis in cybersecurity, criminal intelligence and maritime security
  • 批准号:
    RGPIN-2018-06136
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2018
  • 负责人:
    Glässer, Uwe
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位:
利用全基因组关联分析和QTL-seq发掘花生白绢病抗性分子标记
基于SERS纳米标签和光子晶体的单细胞Western Blot定量分析技术研究
  • 批准号:
    31900571
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2019
  • 负责人:
    刘兵
  • 依托单位: