伊世智能

SecDT GNSS series

Current situation analysis

Ø With the promotion of autonomous driving functions, GNSS systems will play an increasingly important role in vehicle positioning functions. The Ministry of Industry and Information Technology recently issued the "Opinions on Strengthening the Access Management of Intelligent Connected Vehicle Production Enterprises and Products", which clearly requires that "enterprises should ensure that their automotive products have safe and reliable satellite positioning and timing functions, and provide effective location, speed, time and other information".

Ø Hackers hijacking GNSS signals through deception and other means will seriously threaten driving safety, enabling remote control of vehicles. Therefore, the security, stability, and trustworthiness of GNSS signals are the foundation for ensuring the safety of autonomous driving.

Solutions

Provide software based solutions for GNSS security reinforcement with different strengths and diversity, to prevent vehicles from being subjected to signal deception attacks and fundamentally ensure the security of vehicle positioning systems

01 01

Physical consistency check
02 02

Based on linear regression

Model checking
03 03

Model Detection Based

on Deep Learning

on Deep Learning

Preliminary screening of GNSS signal authenticity based on Timestamp data

Predicting the future position of a vehicle based on IMU data for identifying the authenticity of GNSS signals.

Based on driving trajectory data detection, regularly compare current and historical GPS data to detect abnormal position changes and GPS signal loss

Product advantages

Low data demand

Low cost

Product characteristics

Preliminary screening of GNSS signal authenticity based on Timestamp data.

Predicting vehicle steering angle using linear regression algorithm based on steering wheel angle data

Based on data such as vehicle speed, steering angle, and historical GPS signals, an approximate dynamic model is used to predict the location of the next timestamp vehicle.

Based on comparing the predicted location with the GPS positioning location, detect whether the GPS signal is deceived.

Product characteristics

CuSTomizable