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: $ 2.04万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=682786
• 关键词: Situation; analysis; cybersecurity; criminal; intelligence

Illicit networks and criminal operations threaten our critical infrastructure, economy and businesses, and public safety onnected across different crime spaces as well as evolving trends such as organized crime moving more and more into the cyber arena or exploiting notorious weaknesses in maritime security. A network perspective based on evidence extracted from data can greatly enhance situational awareness in 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.********

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，这些都与不同犯罪空间以及不断变化的趋势有关，例如有组织犯罪越来越多地进入网络竞技场或利用海事安全中臭名昭著的弱点。以从数据中提取的证据为基础的网络视角可以大大提高对情况的认识，将各个点联系起来，以帮助确定优先事项，从而决定如何最好地利用资源，以最大限度地发挥影响。这种情况要求在使用尖端数据分析和社交网络分析方法方面取得根本性进展，将来自警方报告的犯罪、情报收集和监视行动的大量数据转化为可采取行动的信息和知识。对非法活动的早期干预显然比事后进行冗长的调查更经济有效。该研究计划旨在创新方法和正式的分析框架，以推进数据挖掘和社交网络分析算法的设计，集成，验证和评估，以及与非法网络和犯罪活动相关的情况分析和情报收集的支持工具。该研究计划的范围涵盖网络安全，犯罪情报和海事安全。基于现有的专业知识和经验，当前和预期的未来与政府机构，领域专家，行业合作伙伴和学术研究人员的合作，以及现有的公共安全和安全高性能计算实验室基础设施，以开展研究，最长的该研究计划长期目标是建立一个大数据智能卓越中心和跨学科研究机构，满足这些领域对高级研究和HQP培训日益增长的需求。 除了回答紧迫的研究问题，该计划还为政府部门（执法，情报服务，国防），加拿大的ICT和卫星工业部门提供尖端的HQP培训。