Excellence in Research: A Network-centric Framework for Cyber Threat Intelligence

卓越研究：以网络为中心的网络威胁情报框架

• 批准号: 1901150
• 负责人: Roy George
• 金额: $ 25万
• 依托单位: Clark Atlanta University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1901150&HistoricalAwards=false
• 关键词: Excellence; Research; Network; centric; Framework

This project seeks to develop a Network-centric classification as the central component of a Cyber Threat Intelligence framework. This framework will permit security personnel to analyze a broad spectrum of information harvested from different sources. In addition, the research proposes an analytical approach to the study of network structure and the prediction of network behavior in the context of this framework. The ability to accurately model these characteristics provides a strong theoretical and practical basis for the Cyber Threat Intelligence framework.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目旨在开发以网络为中心的分类，作为网络威胁情报框架的核心组件。 该框架将允许安全人员分析从不同来源收集的广泛信息。此外，该研究提出了一种分析方法的网络结构的研究和网络行为的预测在这个框架的背景下。准确建模这些特征的能力为网络威胁情报框架提供了强有力的理论和实践基础。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases

HyGraph：一种用于高效查询大图数据库的子图同构算法

• DOI: 10.1186/s40537-022-00589-0
• 发表时间: 2022
• 期刊: Journal of Big Data
• 影响因子: 8.1
• 作者: Asiler, Merve;Yazıcı, Adnan;George, Roy
• 通讯作者: George, Roy