公开(公告)号：US20220174479A1

公开(公告)日：2022-06-02

申请号：US17547418

申请日：2021-12-10

Applicant: INTEL CORPORATION

Inventor： Xiruo LIU ,  Shabbir AHMED ,  Ralf GRAEFE ,  Christopher GUTIERREZ ,  Marcio JULIATO ,  Rafael ROSALES ,  Manoj SASTRY ,  Liuyang YANG

IPC: H04W12/02 ,  H04W4/40 ,  H04W12/03 ,  H04W4/46 ,  H04W4/029 ,  H04W4/06 ,  H04L9/40 ,  H04W4/08 ,  H04W4/024 ,  H04L67/52 ,  H04L67/125 ,  H04W4/80

Abstract: Various embodiments are generally directed to techniques for providing improved privacy protection against vehicle tracking for connected vehicles of a vehicular network. For example, at least one road side unit may: identify a set of vehicles that require pseudonym changes and send an invitation for a pseudonym change event to each of the vehicles, determine at least a total number of the acceptances, determine whether the total number meets or exceeds a predetermined threshold number, send acknowledgement messages to the accepting vehicles if the threshold number is met, and form a vehicle group to coordinate the pseudonym change event during a privacy period. During the privacy period, the RSU and the vehicles may communicate with each other in a confidential and private manner via key-session-based unicast transmission, and coordinate transmission power and vehicle trajectory adjustments to maximize the benefits for safety and obfuscation for privacy.

公开(公告)号：US20240323657A1

公开(公告)日：2024-09-26

申请号：US18550061

申请日：2022-05-05

Applicant: Intel Corporation

Inventor： Liuyang YANG ,  Ignacio J. ALVAREZ ,  Xiruo LIU ,  Kathiravetpillai SIVANESAN ,  Leonardo GOMES BALTAR

IPC: H04W4/38 ,  G06Q50/40 ,  H04W4/40

CPC classification number: H04W4/38 ,  H04W4/40 ,  G06Q50/40

Abstract: The present disclosure is related to vehicle-to-everything (V2X) and Intelligent Transport System (ITS) communications technologies, and in particular, to misbehavior detection and misbehavior reporting services for Collective Perception Messages (CPMs). The misbehavior detection mechanisms include one or more data consistency checks, including a multi-step systematic data consistency check within individual CPMs, across multiple CPMs from the same transmitter, and across multiple CPMs from different transmitters. Potential misbehaviors are reported to a misbehavior authority in one or more misbehavior reports.