Uncertainty Quantification of Cyber Attacks at Intelligent Traffic Signals
| 项目名称： | Uncertainty Quantification of Cyber Attacks at Intelligent Traffic Signals |
| 摘要： | Description: The primary goal for the project is to develop, and validate detection models for system control failures involving connected vehicle applications. The secondary goal is to establish long-term collaborative research between the C2M2 partners and Benedict College to provide re-search and career opportunities for underrepresented minority students. To achieve these goals, the following objectives are identified: We anticipate the proposed research will lead to significant levels of collaborative research, including large multi-institutional grants that will be needed to help the state of South Carolina become the �silicon valley� of the South East in vehicular and manufacturing technology. Intellectual Merit: (1) Develop an appropriate system model representation, including a characterization of a set of anomalies; (2) Develop predictive methods and training sets such that anomalies can be classified quickly by vehicles or edge nodes; and (3) Create a working group of interested faculty and students at participating universities to engage undergraduate students in educational activities that are synergistic and supportive of the proposed projects goals and objectives. Broader Impacts: The models developed in this proposed research can be extended to autonomous vehicles, different traffic systems as well as complexity of these systems. Although signalized networks are focused in this project, any other CV application can be analyzed similarly: vulnerabilities can be identified and detection tools/sensors can be deployed for a reliable application. |
| 状态： | Active |
| 资金： | 103300 |
| 资助组织： | Center for Connected Multimodal Mobility |
| 管理组织： | Clemson University |
| 项目负责人： | Martin, James |
| 执行机构： | Benedict College |
| 主要研究人员： | Comert, Gurcan |
| 开始时间： | 20180101 |
| 预计完成日期： | 20190430 |
| 实际结束时间： | 0 |
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