I-Corps: Physics-based Automotive Cybersecurity

I-Corps项目更广泛的影响/商业潜力是开发一种嵌入式技术，可以保护现代车辆免受汽车网络安全威胁。预计这一创新将对现代互联汽车的安全、交通安全、国家安全和汽车原始设备制造商（OEM）等多个领域产生影响。随着自动驾驶和联网汽车的出现和普及，oem及其车载（IVN）技术的市场规模正在迅速增长，预计将保持增长轨迹，达到约460亿美元。汽车网络威胁分析、检测和定位是这个不断增长的市场不可或缺的组成部分。这项创新计划有望在未来5年内为汽车供应商和原始设备制造商节省约3亿美元。在交通安全、汽车产业、网络保险等领域，这一创新给整个社会带来的好处是巨大的。I-Corps项目的基础是开发安全解决方案，以保护现代汽车车载网络（ivn）免受各种网络攻击。提出的技术同时使用基于物理的攻击检测和定位。目前，使用现有的发动机控制单元（ECU）诊断技术，车辆ECU和车载网络安全工程师在每辆车上花费大约30分钟到1小时来扫描ivn中潜在的安全问题。所提出的技术使用由嵌入式硬件设备和全自动车载网络流量分析算法组成的物理指纹框架来检测和定位在连接的ivn内发生的恶意活动。该IVN网络安全工具可以保护现代汽车IVN免受越来越多的网络威胁，并帮助oem和汽车供应商的网络安全经理以时间和成本效益的方式保护其产品的IVN免受越来越多的网络攻击。该奖项反映了美国国家科学基金会的法定使命，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。

The broader impact/commercial potential of this I-Corps project is the development of an embedded technology that may protect modern vehicles against automotive cybersecurity threats. The proposed innovation is expected to have impacts in several areas including security of modern connected vehicles, transportation safety, national security, and automotive Original Equipment Manufacturers (OEM). With the advent and proliferation of autonomous and connected vehicles, the market size for OEMs and their in-vehicle (IVN) technologies is rapidly growing and is expected to maintain a growth trajectory to about $46 billion dollars. Automotive cyberthreat analysis, detection, and localization is an integral component of this growing market. The proposed innovation has the potential to save about $300 million dollars for automotive suppliers and OEMs over the next 5 years. The benefits of the innovation to society at large are significant in the areas including transportation safety, automotive industry, and the cyber insurance business. This I-Corps project is based on the development of security solutions to safeguard modern automobile in-vehicle networks (IVNs) against a wide array of cyberattacks. The proposed technology uses physics-based attack detection and localization in a simultaneous manner. Currently, using the existing engine control unit (ECU) diagnosis technologies, the vehicle ECU and in-vehicle cybersecurity engineers spend about 30 minutes to 1 hour for each vehicle to scan for potential security issues in IVNs. The proposed technology uses a physical fingerprinting framework consisting of embedded hardware devices and completely automatic in-vehicle network traffic analyzing algorithms to detect and localize malicious activities happening within the connected IVNs. This IVN cybersecurity tool, may protect the modern automobile IVNs against the ever-increasing number of cyberthreats and help the cybersecurity manager of OEMs and automotive suppliers to defend the IVNs of their products against the growing number of cyberattacks in a time- and cost-efficient manner.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.