Security of Connected Vehicles via Sandboxing against False Data Injection Attack
项目名称: Security of Connected Vehicles via Sandboxing against False Data Injection Attack
摘要: Description: This project will develop a resilient control framework for managing information flows for CAVs. More specifically, it will create a cloud-based sandboxing technique that will allow CAVs to safely operate even in corrupted conditions when malicious data is injected into the communication network. The technique will also account for communication delays, real-time computational constraints, and opportunistic behavior and uncertainties in the localization of non-connected vehicles (non-CVs). The project will focus on both urban and extra-urban driving scenarios, and on heterogeneous traffic conditions (60% or higher CAV technology penetration). Intellectual Merit: The research team will develop a cloud-based control-oriented technology solution for CAVs that utilizes infrastructure information, along with a traffic model to detect cyber-attacks consisting of false information injected into the CAV communication system. Broader Impacts: The technology that will be developed may play an important role in integrating smart cities� and regions� infrastructure services and components by accelerating the introduction of CAVs and vehicle-sharing services. Technology Transfer Plan: Both the software and the algorithm the team develops will be licensed to the private and public sectors.
状态: Active
资金: $87000
资助组织: Benedict College
管理组织: Clemson University
项目负责人: Pisu, Pierluigi
执行机构: Benedict College
主要研究人员: Comert, Gurcan
开始时间: 20181201
预计完成日期: 20200831
实际结束时间: 0
检索历史
应用推荐