VANETs position privacy protection query method under fog computing architecture

Abstract

The invention provides a VANETs position privacy protection query method under a fog computing architecture, which comprises the following steps: both a roadside unit RSU and a vehicular unit OBU areregistered to a third-party trust mechanism TA; a ring is formed between the adjacent roadside units RSU; the roadside unit RSU in the ring serves as a fog node in the ring and is provided with a pioneer node and a successor node, and a shared secret key is arranged between the adjacent roadside units RSU in the ring; when the vehicular unit OBU is connected to the vehicular self-organizing network VANETs for the first time, bidirectional access authentication is carried out between the vehicular unit OBU and the roadside unit RSU, and a temporary query code PID is issued to the OBU by the roadside unit RSU; and a query based on a position service is completed between the vehicular unit OBU and the roadside unit RSU by adopting an anonymous forwarding chain generated based on the ring formed by the roadside unit RSU. According to the method in the invention, the anonymous forwarding chain technology is applied to the process of a vehicle node of the VANETs protocol to carry out serviceinquiry; the anonymous forwarding chain technology is used, so that the position privacy of the vehicle node is effectively protected.

Description

technical field [0001] The invention belongs to the technical field of network security, in particular to a VANETs position privacy protection query method under the fog computing framework. Background technique [0002] With the introduction of the concept of smart city and smart transportation, it provides good opportunities and broad prospects for the development of Vehicular Ad Hoc Networks (VANETs). It has attracted more and more attention from scholars at home and abroad. In VANETs, ​​it is often necessary to provide third-party application services to improve the experience of vehicle users and meet the increasingly rich application requirements of users. This requires OBU to access LBS through VANETs. For example, a user accesses a location-based server (Location Based Server, LBS) in the cloud through an application program, and the LBS feeds back a response result to the user according to the user request. For example, a user requests LBS to find a nearby bank AT...

AI Technical Summary

Problems solved by technology

However, some studies have proposed the combination of in-vehicle network and fog computing, but there is no mature solution yet

The location privacy protection of vehicle users in VANETs has received extensive attention. In order to solve the location privacy protection problem in the location-based service query process, many conceived proposals to hide the user's location and identity have been proposed, but they cannot meet the high-speed mobile VANETs environment. Medium mobility, real-time, security and other requirements

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