车路协同的信源身份鉴别方法、装置、设备及介质
By using trigger encryption, semantic encoding, and difference graph reconstruction in the vehicle-road cooperative system, the system's security vulnerabilities are addressed, ensuring the integrity and accuracy of data transmission and preventing traffic accidents.
CN118114279BActive Publication Date: 2026-07-17ARCHITECTURAL DESIGN RES INST OF GUANGDONG PROVINCE
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ARCHITECTURAL DESIGN RES INST OF GUANGDONG PROVINCE
- Filing Date
- 2024-03-25
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Vehicle-road cooperative systems have security vulnerabilities during deployment. Attackers can tamper with system data, leading to serious traffic accidents.
Method used
The method employs trigger encryption, semantic encoding and decryption, and difference graph generation and reconstruction. It uses RSA public key to encrypt trigger location information, uses semantic encoder and generator to generate difference graph, sums elements at the receiving end, and uses Word2Vec model to verify the identity of the information source.
Benefits of technology
It effectively prevents attackers from tampering with data, ensures the quality of image restoration, reduces the loss of semantic information, and avoids traffic accidents.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN118114279B_ABST
Abstract
本申请涉及一种车路协同的信源身份鉴别方法、装置、设备及介质，方法包括：路侧接收设备对第二交通场景图像以及差异图进行元素求和以还原加入触发器的第一交通场景图像，根据RSA公钥相对应的RSA密钥以及语义知识库对加密的触发器位置信息进行解密，以确定第一触发器源数据，采用解密解码器提取加入触发器的第一交通场景图像中添加的触发器数据，以确定第二触发器源数据；检测第一触发器源数据相对应的词向量是否与第二触发器源数据相对应的词向量完全一致，若完全一致，则所传输的交通场景图像为正确信源身份。本申请能够避免攻击者对系统数据进行篡改，从而避免对整个车路协同系统以及其覆盖的交通设施和车辆造成影响。
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