Active Intrusion Prediction and Response for Computing Devices on the Internet

互联网上计算设备的主动入侵预测和响应

• 批准号: RGPIN-2017-04755
• 负责人: Samarabandu, Jagath
• 金额: $ 1.75万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637349
• 关键词: Active; Intrusion; Prediction; Response; Computing

Computing infrastructure in Canada as well as across the world are increasingly under attack from intruders attempting to steal information that is safety, business and privacy critical. Such intruders are often backed by criminal enterprises or nation-state actors and are technically very sophisticated with plenty of resources. In 2015, British insurance company Lloyd's estimated the world-wide loss due to cyber crime USD $500 billion. By 2019, this is expected to quadruple to $2 trillion. A crucial weapon in the fight against this worsening crisis is an engineering solution to detect network intrusions and deploy countermeasures.

加拿大以及世界各地的计算基础设施正越来越多地受到入侵者的攻击，这些入侵者试图窃取安全、商业和隐私关键信息。这些入侵者通常得到犯罪企业或民族国家行为者的支持，在技术上非常复杂，拥有大量资源。2015年，英国保险公司劳合社估计，全球因网络犯罪造成的损失达5000亿美元。到2019年，这一数字预计将翻两番，达到2万亿美元。对抗这一日益恶化的危机的关键武器是检测网络入侵并部署对策的工程解决方案。