SEEK+: Securing vehicle GPS via a sequential dashcam-based vehicle localization framework

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Peng Jiang , Hongyi Wu , Yanxiao Zhao , Dan Zhao , Gang Zhou , Chunsheng Xin
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引用次数: 0

Abstract

Nowadays, the Global Positioning System (GPS) plays an critical role in providing navigational services for transportation and a variety of other location-dependent applications. However, the emergent threat of GPS spoofing attacks compromises the safety and reliability of these systems. In response, this study introduces a cutting-edge computer vision-based methodology, the SEquential dashcam-based vEhicle localization frameworK Plus (SEEK+), designed to counteract GPS spoofing. By analyzing dashcam footage to ascertain a vehicle’s actual location, SEEK+ scrutinizes the authenticity of reported GPS data, effectively identifying spoofing incidents. The application of dashcam imagery for localization, however, presents inherent obstacles, such as adverse lighting and weather conditions, seasonal and temporal image variations, obstructions within the camera’s field of view, and fluctuating vehicle velocities. To overcome these issues, SEEK+ integrates innovative strategies within its framework, demonstrating superior efficacy over existing approaches with a notable detection accuracy rate of up to 94%.

SEEK+:通过基于连续仪表盘摄像头的车辆定位框架确保车辆 GPS 安全
如今,全球定位系统(GPS)在为交通和其他各种依赖位置的应用提供导航服务方面发挥着至关重要的作用。然而,新出现的 GPS 欺骗攻击威胁损害了这些系统的安全性和可靠性。为此,本研究引入了一种基于计算机视觉的先进方法,即基于仪表盘的SEquential vEhicle localization frameworK Plus (SEEK+),旨在对抗GPS欺骗。通过分析仪表盘录像来确定车辆的实际位置,SEEK+ 可以仔细检查所报告的 GPS 数据的真实性,从而有效识别欺骗事件。然而,应用仪表盘摄像头图像进行定位存在固有的障碍,例如不利的照明和天气条件、季节和时间图像变化、摄像头视野内的障碍物以及波动的车辆速度。为了克服这些问题,SEEK+ 在其框架内集成了创新策略,与现有方法相比,显示出卓越的功效,检测准确率高达 94%。
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来源期刊
Pervasive and Mobile Computing
Pervasive and Mobile Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
7.70
自引率
2.30%
发文量
80
审稿时长
68 days
期刊介绍: As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral parts of our daily lives. Tremendous developments in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoTs, etc.) to ubiquitous connectivity, via a variety of wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including edge, fog and cloud) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Cutting-edge applications and paradigms have evolved, such as cyber-physical systems and smart environments (e.g., smart city, smart energy, smart transportation, smart healthcare, etc.) that also involve human in the loop through social interactions and participatory and/or mobile crowd sensing, for example. The goal of pervasive computing systems is to improve human experience and quality of life, without explicit awareness of the underlying communications and computing technologies. The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems.
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