Using semantic similarity to improve the automatic mining of known attack patterns from security-related events

使用语义相似性改进从安全相关事件中自动挖掘已知攻击模式

• 批准号: 500825-2016
• 负责人: Kosseim, Leila
• 金额: $ 1.82万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=608314
• 关键词: Using; semantic; similarity; improve; automatic

The goal of the proposed research is to investigate the use of Natural Language Proceeding techniques to improve the precision and the coverage of ArkAngel's semantic mapping that is currently used to significantly automate the phases of the analysis monitoring services at Above Security, a managed security service provider.

拟议的研究的目标是调查使用自然语言程序技术，以提高精度和覆盖范围的ArkAngel的语义映射，目前用于显着自动化阶段的分析监控服务在上述安全，托管安全服务提供商。