GPS spoofing detection via crowd-sourced information for connected vehicles

Modern vehicular systems rely on the Global Positioning System (GPS) technology to provide accurate and timely services. However, GPS has been proved be characterized by an intrinsic insecure design, thus being subject several security attacks. Current solutions can reliably detect spoofing attacks leveraging physical features of received signals or resorting multiple antennas. these techniques cannot deployed when properties accessed, which is most general case for commercial receivers. Alternative in literature cross-check signal with information coming from additional sources. such proposals are typically limited a single source, rarely supported experimental results, do not insights impact parameters, as detection accuracy, time, false-positives, robustness malicious information. To overcome cited limitations, this paper, we propose innovative approach, combined crowd-sourced mobile cellular infrastructure WiFi networks Our analysis leverages extensive dataset, available online research community, gathered driving around car urban, suburban, rural scenarios, 5 h covering more than 196 km. solution allows tunable tradeoff between delay false positive; instance, attack approximately 6 s, only WiFi, while increases 30 s using network, still achieving positive probability strictly less 0.01. We also show limitations trade-offs our terms minimum The data adopted work publicly released allow results replicability foster further highlighted directions.