EAPSI: Determining the relative location of malicious nodes within Vehicle-to-Vehicle wireless networks for driver safety

在美国，每年有3.3万人死于车祸。车对车（V2V）无线通信是汽车通过实时交换包含全球定位系统（GPS）坐标和地面速度信息的安全信息，避免事故发生的技术。然而，现有的V2V无线系统并没有考虑到黑客/恶意系统的信息，这些信息会迫使汽车通信错误的GPS坐标或陆地速度信息。该项目将研究新的物理层技术，使汽车能够确定其他汽车。通过收听安全信息的接收方式而不是信息的接收方式来确定接收者的相对位置？年代的内容。这些发现可以用来帮助司机在其他车辆被黑客入侵的情况下避免事故。这项研究将在韩国大田的韩国科学技术院V2V物理层无线通信专家Wan Choi博士的指导下进行。该项目旨在开发新的算法来确定发射机？S相对方位角和仰角。所开发的算法将通过专门为使用IEEE 802.11p物理层标准的新部署的V2V通信信号设计算法，推动无线电定位领域的发展。该项目将包括两个阶段：第一阶段涉及通过数学和信号处理理论开发算法；第二阶段需要使用软件定义的无线电在软件和硬件中实现算法。该项目的研究结果将使未来的汽车网络研究人员能够开发出新的先进防撞系统和技术，以检测被黑客攻击的车辆，最终提高驾驶员的安全性，减少汽车事故造成的死亡人数。该奖项是与韩国国立研究财团合作设立的。

In the United States, 33,000 people are killed annually due to automotive accidents. Vehicle-to-Vehicle (V2V) wireless communication is a technology that allows cars to avoid accidents through the exchange of safety messages containing Global Positioning System (GPS) coordinates and land speed information in real-time. However, existing V2V wireless systems do not account for information from hacked/malicious systems, which force a car to communicate wrong GPS coordinates or land speed information. This project will investigate new physical layer techniques to allow cars to determine other cars? relative location to a receiver by listening to the way the safety message is received instead of the message?s contents. These findings could be used to help drivers avoid accidents in the event that other vehicles are hacked. This research will be conducted under the guidance of Dr. Wan Choi, an established expert in V2V physical layer wireless communication, at the Korea Advanced Institute of Science and Technology in Daejeon, South Korea.The project aims to develop new algorithms to determine a transmitter?s relative azimuth and elevation. The algorithms developed will advance the field of radio localization by designing algorithms specifically for the newly deployed V2V communication signal which uses the IEEE 802.11p physical layer standard. The project will include two phases: Phase I involves the development of algorithms through mathematics and signal processing theory; Phase II entails the implementation of the algorithms in software and hardware using software defined radios. The findings generated from the project will allow future vehicle networking researchers to develop new advanced collision avoidance systems and techniques for detecting hacked vehicles, ultimately improving driver safety and reducing fatalities due to auto accidents. This award is funded in collaboration with the National Research Foundation of Korea.