伊世智能

Scheme Introduction

The knowledge base for the linkage between autonomous driving function safety and information security is deployed on the intelligent connected vehicle safety management platform VSOC, providing technical support for timely and effective detection of external attack behaviors faced by intelligent connected vehicles and achieving sensor safety anomalies in autonomous driving.

Experienced team

Based on the team's years of experience in the field of intelligent connected vehicle information security, we provide a sensor security anomaly detection engine for autonomous driving scenarios. Led by Zhongqi Chuangzhi Technology Co., Ltd., we have built an industry-leading "security baseline strategy library+emergency response rule library" to ensure continuous optimization of automotive information security, support accurate identification of abnormal attack behaviors such as in vehicle Ethernet, GNSS, OTA, V2X, and quickly respond to sudden security incidents and threats.

Programmable security policy scripts and security event triggering models

Develop a safety strategy library for intelligent connected vehicles, focusing on key networks like Ethernet, CAN/CAN FD, ADAS domain controllers, and GPS systems. Create automated, programmable safety scripts and event-triggering models. Implement dynamic optimization and self-learning mechanisms for information and functional security strategies, providing a reference for optimizing and deploying security strategies and emergency rules in autonomous vehicles.

Building a collaborative knowledge base for functional safety and information security

For intelligent connected vehicle systems like V2X, IVI, and ADAS, a knowledge base for functional safety and information security is built. A machine learning algorithm validation engine is used to detect known and unknown attacks, enabling vehicle-cloud security linkage and security event monitoring and early warning.