Traditional encryption systems may fail in the face of quantum attacks, how can car security be disrupted?
Quantum computing is accelerating from the laboratory to industrialization, and the information security boundaries of intelligent networked vehicles have been completely rewritten. Traditional encryption systems may fail in the face of quantum attacks, and quantum encryption is limited by cost, volume, and physical conditions, making it difficult to get on the bus directly. China FAW's exploration is to: take "quantum computing resistance" as the main line, build a "three horizontal and two vertical" automotive quantum information security architecture, and promote the safe migration of the vehicle end that can be landed, the cloud can be collaborated, and the whole link can be verified. The quantum threat is not a visionary hypothesis, but a must-answer question of certainty; whoever completes the migration first will be in charge of the next generation of automotive safety initiatives. At the 22nd China Automotive Industry Development (TEDA) International Forum "New Technology Ecosystem: Automotive Big Data Technology Application and Digital Transformation" held on September 18, 2026, Wang Debing, chief scientist of China FAW and director of the National Key Laboratory of High-end Automotive Integration and Control, said that quantum computing poses a definitive challenge to automotive information security and the traditional encryption system is at risk of being cracked; quantum encryption is limited by cost, volume and physical conditions, making it difficult to directly get on board, and quantum-resistant computing is a realistic path. Its core judgment is that a "three horizontal and two vertical" automotive quantum information security architecture should be built to promote secure migration where the vehicle side can land, the cloud can collaborate, and the whole link can be verified. A quantum threat is not a visionary hypothesis, but a must-have question that must be answered as quickly as possible. Wang Debing, Chief Scientist of China FAW and Director of the National Key Laboratory of High-end Automotive Integration and Control, gave the following speech, which was refined by the Automobile House: Dear Chairman of the Board, distinguished guests, and colleagues, good morning! My report is entitled "Exploration and Practice of Information Security Resistant to Quantum Computing under Automotive Big Data Technology". This work is still in its infancy. It is the preliminary research results of China FAW and Hefei University of Technology, Guodun Quantum, and Guandun Technology. I implore you to criticize and correct it. 1. Research background In recent years, quantum technology has developed rapidly and is transforming from the laboratory stage to industrialization. It has become a new track for the future industry and a new battleground for great power competition. The development of quantum technology has risen to a national strategy. From the perspective of intelligent networked cars, the interaction scenarios have expanded from "people and road clouds" to five types of interactions: car clouds, cars, roads, cars and people, and cars. The closed communication system inside the vehicle is becoming a highly open system. The original information security boundaries have been broken, and the information security risks of intelligent networked vehicles are becoming increasingly serious. In 2025, automotive data and information security accidents will run throughout the year. Among them, the impact of network security accidents on vehicle control accounts for about 30%, data and privacy security risks account for about 28%, and the total of the two items reaches 60%. Frequent accidents show that information security has become a core issue that the automotive industry must face. Especially in the context of automotive big data, data flows at high speeds in vehicles, intelligent driving, and human-computer interaction, further amplifying safety challenges. 2. The deterministic challenges brought about by quantum computing Quantum computing has exponential parallelism capabilities, which can make traditional mathematical puzzles such as large integer decomposition and elliptic curve discrete logarithm easy. The asymmetric passwords currently widely used in the car can be quickly cracked in front of the quantum Shor algorithm; symmetric passwords and hashed passwords are also threatened, and the security capability can only be iterated by continuously increasing the number of password bits. Therefore, quantum computing is not a "possible risk" to automotive information security, but a future challenge of certainty. It is not an optional question, but a mandatory one. At the same time, the state has successively promulgated automotive information security and data security regulations in recent years, putting forward more stringent requirements for automotive products and automobile companies. However, the standard system, development methods and verification standards for quantum computing are still not perfect. Stricter regulations coexist with the lack of standards, making quantum information security an urgent issue that must be solved quickly. Quantum computing brings two core challenges to automotive information technology and data security: first, quantum computing must be effectively protected from damage to vehicle information security; second, the time window for the migration of existing automotive encryption systems to quantum-resistant systems is short and must be completed as soon as possible. 3. Path selection: quantum encryption is difficult to directly get on the train, and quantum-resistant computing has become the most direct idea of the actual route, which is to use quantum encryption on the vehicle side. However, in reality, there are three approximate constraints: one is the cost constraint. Components such as single-photon detectors and quantum random number generators are expensive and may even be higher than the whole vehicle, making it difficult to deploy on a large scale in the vehicle. The second is volume constraints. Quantum encryption equipment is bulky, and there is not enough space in the car to install it. Third, physical constraints. The system that generates photons and transmits photons is difficult to adapt to the high-speed movement of the vehicle and the rapid switching of communication nodes, and the physical realization of the vehicle is difficult. Therefore, quantum encryption directly on the car is not realistic. We propose to implement information encryption in the quantum era on the vehicle side in a way that is "quantum-resistant". At present, there are three main paths for quantum-resistant computing: one is to adopt a quantum-resistant cryptographic algorithm on the vehicle side and encrypt it with a mathematical algorithm; the other is to deploy a quantum generator or quantum equipment on the cloud to manage the quantum password on the vehicle side through the cloud; the third is to deploy a small random number chip on the vehicle side to generate a small number of cryptographic sources for encryption. The advantages and disadvantages of each of the three paths may be combined applications in the future. Fourth, after the construction of the "three horizontal and two vertical" automotive quantum information security system clarifies that "quantum threats will inevitably come" and "take quantum encryption as the path", the key is how to land on the vehicle side. We have constructed the application strategy of quantum information encryption system in the vehicle, and formed the automotive quantum information security technology architecture, which is summarized as "three horizontal and two vertical". This is the first time we have released the framework at home and abroad and have validated it on the relevant products. "Three horizontal" includes: the first layer, the basic layer. The core is the deployment of quantum security engines, focusing on the development of lightweight quantum-resistant ciphers. Through hardware acceleration, software operator optimization, scene optimization and hybrid password switching, the security capability of the vehicle can be controlled. The difficulty is that when the existing standard PQC algorithm is directly deployed to the vehicle platform, the computing power, controller and memory requirements are high. We propose a closed-loop technology system for algorithm analysis, vehicle migration, engineering optimization, and test verification, and carry out specific work around scenario algorithm selection, security strength, delay, communication and storage overhead, password encapsulation, signature verification mechanism, and finally achieve engineering delivery. The second layer, the protocol layer. The core is protocol optimization, certificate compatibility and modular packaging to achieve quantum security capabilities, and standardized services are integrated into the vehicle protocol system. The difficulty lies in the high chain building time, limited network load, and cross-system compatibility with quantum certificate resistance. We build a PQC protocol stack synergy optimization mechanism to promote PQC protocol stack synergy optimization, quantum computing-resistant digital certificates and signatures, modular security services, and clarify the development process. The third layer, the cloud layer. Build a dual-mode quantum information security protection system in the cloud, unify the configuration in the cloud, and switch between multiple modes on demand, so that quantum security protection covers different value-level vehicle cloud business scenarios. The difficulty is that a single protection mechanism is difficult to resist quantum computing attacks, and needs to be analyzed in combination with business differentiation. We have proposed corresponding solutions. The "two verticals" include: First, the basic capabilities of quantum information security. Focus on solving problems such as border security, link security, cross-domain security, quantum certificate resistant system, full life cycle management, and quantum password resistant management. In terms of border security, cross-domain authentication confirmation is achieved through the zero-trust quantum security gateway; in terms of link security, security is guaranteed through TLS 1.3 full-link encryption. The second is the verification of quantum information security testing. Design an evaluation system covering functions, performance, safety, and typical scenarios, focusing on link function testing, performance index testing, safety strength verification, and typical scenario coverage, and clarify the test system, environment, tool chain, and evaluation objectives. V. Practical Progress and Vehicle Application Since 2023, we have systematically carried out quantum information security technology work and made positive progress. We reconstructed the vehicle-side quantum information management system, integrating quantum security into existing cybersecurity and data security processes; reconstructed the information security development process, adding 5 modules to the traditional process, and reconstructing 18 original modules. At the same time, based on the stride model, the network security and data security risks faced by the vehicle are quantitatively analyzed from the two dimensions of threat scenarios and loss scenarios, and the specific risks of quantum technology in each system are evaluated. In terms of "three horizons", we adapt tee multi-vector deployment, develop modular security service components, establish development standards at all levels, and build a multi-cloud verification platform. In terms of "two verticals", the basic capabilities from boundaries, links, and cross-domains to certificates and keys are built, and the verification system is tested closed-loop and quantitatively evaluated, covering functions, performance, strength, and business scenarios. At present, there are two car-side practice cases: first, the use of quantum-resistant computing technology to implement encryption and protection of cockpit data; second, the use of quantum encryption computing cryptography technology, through the mobile phone to achieve vehicle remote monitoring, to ensure the security of the quantum era vehicle remote control. 6. Summarizing and calling for the information security problems brought about by quantum technology in the era of big data intelligent networking is a deterministic challenge; the corresponding technical route has also been clarified and has a verification basis. At present, there are still common problems in industries such as lack of standards, high costs, insufficient model and scene pull, and shortage of quantum information talents. I take this opportunity to call on industry colleagues to work together to create the future of automotive quantum information security technology at the dawn of the quantum era.