Yangdian Pavilion: Data security management is related to the winning and defeat of smart cars

Zhongxin Jingwei August 16th: Data security management is related to the winning and defeat of smart cars

Author Yang Diange Tsinghua University Professor of Vehicle and Launival College

The development of smart cars needs to be driven by data. Data iteration is a lifeline for smart car technology progress.

In the past ten years, the reason why smart cars can achieve rapid development is because it has adopted a completely technological development model that is completely different from the past, from controlling the logic of control logic based on human experience to data drive. In the old experience control logic mode, in the early stage of system development, it can quickly solve more than 90%of the problems based on human experience, but the rest is a large number of cases of various long -tail effects.

For example, many control systems in traditional cars have tens of thousands of lines. In fact, the core program may only have hundreds of lines. Tens of thousands of lines are because there are a large number of long -tail scene cases that need special treatment. Under such a development model, the maintenance and update of the system will become more and more difficult, the program is becoming more and more difficult to update, and the improvement of system performance can only be accumulated by people's experience. It may no longer be updated.

The development of smart cars based on big data and AI (Artificial Intelligence, artificial intelligence) has subverted the old logic. Relying on the rapid progress of emerging technologies such as artificial intelligence and big data, and relying on machine learning technology and massive data, relying on machine learning technology and massive data, the performance improvement of the autonomous driving system has become very simple. Improve performance. When the long -tail scene case is encountered, as long as there is the corresponding data, the system can learn the processing of the case.

Therefore, as long as the data is continuously accumulated, the system will continue to develop, and the system will continue to improve. Of course, under this development logic, the accumulation and iteration of data becomes very important, and even become a lifeline for smart cars.

Smart cars need to keep the data security bottom line

The source of the data of smart cars is very complicated. It includes both car cameras, laser radar, millimeter wave radar and other external environmental perception data such as geographical information, traffic information, pedestrian information, as well as the driver's personal information, vehicle driving trajectory, vehicle bus data data Wait for data in the car. In addition, after the combination of mobile phones and vehicles, personal privacy data such as personal social accounts, payment passwords, family information, frame numbers will be stored on the car.因此，智能汽车的数据安全涉及多个方面：一是国家信息安全，如地理信息安全；二是个人隐私保护相关的安全，比如个人账户信息、密码、位置等；三是涉及车辆安全防护，如Cyber ​​security issues such as cyber virus and cyber attacks.

If the security of smart car data is allowed, it will indeed bring major hidden dangers to the country and society and the protection of personal privacy. Various countries in the world attach importance to the data security issues of smart cars, and have issued some management measures. The Chinese government also attaches great importance to this issue. In 2021, the State Cyber ​​Information Office and other departments issued the "Several Provisions of Automotive Data Security Management (Trial)" to strictly strictly stipulate smart car data collection, storage and cross -border transmission. This is very necessary and very timely.

Intelligent car data management should take care of security and development should not be thick

The security management of smart car data is relatively complicated. The key is how to find the balance point of security and innovation development. If you just want to ensure the absolute security of the data, it is actually very simple. It is necessary to prohibit all data from collecting smart cars. If you only consider development, it is also very simple. Give the company the greatest freedom and let the data collection of smart cars. However, both extremes are not advisable. Only by finding the "degree" between security and innovation can the healthy development of the smart automobile industry be promoted.

How to accurately grasp the "degree" between security and innovation? From the current point of view, it is not clear. Smart cars are a development industry. The technical route is still in the exploration stage. In the process of development, it is unlikely and unreasonable to want to complete this "degree" complete and detailed.

Relatively speaking, only when technology develops to a relatively mature stage, this management "degree" will be more clear. Prior to this, the relevant data security management regulations should not be too detailed, and it should be given a certain degree of freedom to the enterprise under the premise of keeping the basic security bottom line. For example, the cross -border and data storage of smart car data have been formed. Lighting management of geographical information data collection and storage also adopts qualification management. Under the conditions of ensuring basic security, it can be used in data use, data accuracy, data classification, etc. In terms of appropriate space for the enterprise, after the technology matures, some detailed regulations are formed, otherwise it is easy to occur in the phenomenon of "death".

At present, the competition of smart cars is not only domestic competition, but also global competition. Data is the lifeline of smart car technology progress. If too much and more detailed in smart car data, it is very inconvenient to accumulate and use data. The promotion effect of AI and autonomous driving is not good. Development, then China may lead to backward in the field of intelligent automobile technology.

Therefore, it is recommended that China should be rough or fine in the security management of intelligent vehicles, and adopt the model of combining "from top to bottom" and "bottom -up". During the exploration stage of intelligent vehicle technology, the state "top -down" considers the bottom line and boundary of determining the framework, the bottom line, and ensuring the data security of the data. , University and industry organizations and enterprises jointly make up in the bottom line and framework set by the state, bloom all flowers, explore the details of the collection, storage, management and use of smart car data, and explore how to play the role of data. The development of development is the "degree" of safety and innovation development. Of course, in the process of exploration, enterprises in the automotive industry are required to be highly self -disciplined, adhere to the bottom line of security development, and be awesome to cross -border data transmission and personal privacy protection.

Smart car data security issues need to cooperate with government, property, research and research to solve. In this process, industry organizations can play a good role to help enterprises actively explore the appropriate technical routes; gather the forces of all parties to promote the formulation and implementation of key technical specifications and standards; Promote industrial development and create a good environment. (Zhongxin Jingwei APP)

This article was selected by the Sino -Singapore Jingwei Research Institute. The copy of the work produced by the selected work, the copyright of the work, is not authorized by any unit or individual. The views involved in the selected content only represent the original author and do not represent the view of the Sino -Singapore Jingwei.

Editor in charge: Wang Lei

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