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Full-lifecycle cybersecurity solutions for intelligent and connected vehicles

Today we are in an era of Internet of things. Connected vehicles are a typical representative of IoT applications, and the consequences of being attacked by a network will be more serious.For cars are developing towards intelligence and automation, we are handing over a very critical control to the electronic control system, and we are relying on various sensors to perceive the environment. Under the general trend of Internet cars, the business data carried by cars is becoming more and more sensitive and rich, and it is more and more attractive to attackers. Integrating profound technical experience in the network security industry and the automotive industry, GoGoByte is committed to providing full-life cycle security solutions for connected vehicles, bridging the gap between the security industry and the automotive industry, and empowering the automotive industry with cybersecurity capabilities through collaboration in the automotive industry.

Automation

The introduction of wire-controlled functions and various sensors for automation makes it possible for hackers to remotely control X-By-Wire physical functions, such as steering, braking, accelerating and decelerating of the car, directly threatening the lives of drivers and passengers.

Networking

Connected cars are increasingly relying on network connections to provide services, such as 4G, WiFi, and V2X. While energizing new application scenarios, these connections also introduce cyber-attack threats. The increasingly rich and sensitive data of in-vehicle services motivates attackers 's motivation.

Electrification

The cyber threats faced by electric vehicles are not much different from those faced by other vehicles, but if the electric vehicle charging network is attacked, it will cause serious consequences, such as power outages and fires.

Sharing

Sharing requires the control of the privacy and security risks of cars in the process of being shared, such as data synchronized by users to cars, user historical trajectories, backdoors, etc. The threat model also changes.

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