Location privacy threats and protections in future vehicular networks: A comprehensive review

B Ma, X Wang, X Lin, Y Jiang, C Sun, Z Wang… - arxiv preprint arxiv …, 2023 - arxiv.org
Location privacy is critical in vehicular networks, where drivers' trajectories and personal
information can be exposed, allowing adversaries to launch data and physical attacks that …

[HTML][HTML] Localization techniques in multiple-input multiple-output communication: Fundamental principles, challenges, and opportunities

K Vuckovic, N Rahanvard - MIMO Communications-Fundamental …, 2023 - intechopen.com
This chapter provides an overview of localization techniques in Multiple-Input Multiple-
Output (MIMO) communication systems. The chapter mainly focuses on sub-6 GHz and …

Phantom car attack detection via passive opportunistic rf localization

AM Wyglinski, T Wickramarathne, D Chen… - IEEE …, 2023 - ieeexplore.ieee.org
A novel opportunistic approach of passive RF localization is presented for detecting
“phantom car” attacks, ie, vehicles intentionally reporting false position/velocity information …

Cooperative vehicle localization in multi-sensor multi-vehicle systems based on an interval split covariance intersection filter with fault detection and exclusion

X Shan, A Cabani, H Chafouk - Vehicles, 2024 - mdpi.com
In the cooperative multi-sensor multi-vehicle (MSMV) localization domain, the data incest
problem yields inconsistent data fusion results, thereby reducing the accuracy of vehicle …

Deep learning for autonomous driving

KS Mohamed - … : Autonomous Driving, Artificial Intelligence of Things …, 2023 - Springer
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Location Privacy Protection in Vehicular Networks

B Ma - 2023 - search.proquest.com
Location privacy is of utmost importance in vehicular networks, where drivers' trajectories
and personal information can be exposed, posing threats to drivers' safety and personal …