The 2024 AI+ Smart City Security Solution White Paper discusses the application and challenges of AI technology in the field of smart city security, and proposes a comprehensive risk prevention and empowerment security solution, aiming to build a safe and intelligent urban ecosystem.

Through case analysis, it shows how AI can help improve urban security protection capabilities and safeguard the development of smart cities.

Introduction

With the rapid development of information technology, smart cities have become an important direction for the development of modern cities. However, while smart cities bring convenience, they also face unprecedented security challenges. In order to meet these challenges, AI+Smart City Security Solutions came into being. This white paper will introduce in detail the current status, risk requirements, solutions and cases of AI+Smart City Security Solutions, as well as future development directions.

China AI+ Smart City Security Solutions 2024-2025

Background of Smart City Construction

1. National Policy Promotion:

In recent years, the country has attached great importance to the construction of smart cities, the government has continuously increased its investment, and the scale of investment in the ICT market has continued to grow. This provides solid policy guarantees and financial support for the development of smart cities.

2. Enterprises Actively Participate:

Communication companies such as China Mobile have actively participated in the construction of smart cities, integrating AI technology into them, such as creating a large government model, which has improved the level of intelligence of government services.

AI+Smart City Security Development Status

1. Wide Application of AI Technology:

AI technology is increasingly widely used in smart cities, including smart transportation, smart security, smart environmental protection and other fields. However, the widespread application of AI technology has also brought new security risks.

2. Highlighting of Security Risks:

City managers pay insufficient attention to the security of AI itself, and the network security environment is complex. At the same time, the development of large security models is rapid, but there is a lack of training sets for the security characteristics of smart cities, and AI empowerment of smart city security is still in its infancy.

AI+Smart City Security Risks and Demands

1. AI Application Risks:

  • Model Algorithm Risks: including risks such as bias discrimination, ethical laws, unexplainable, and reverse tampering.
  • Data Element Risks: including risks such as illegal collection, anomalies, poisoning, pollution, and leakage.
  • AI Service Risks: including risks such as output content deviation, generated content violations, and abnormal calls.
  • AI Platform Risks: including risks such as malicious consumption of computing power and supply chain security.
  • AI operational risks: including risks such as legal compliance, operational management, and evaluation ambiguity.

2. Security technology requirements:

  • Network security: requires intelligent protection, decision-making, self-inspection, etc.
  • Data security: requires targeted processing, classification and grading, compliance audit, etc.
  • Application security: requires content security, monitoring, mimicry analysis, etc.
  • Public security: requires the improvement of risk prevention and control, precise management capabilities, etc.

China Mobile AI+Smart City Security System Architecture

The AI+Smart City Security System Architecture proposed by China Mobile includes the following aspects:

  1. Overall goal: To achieve smart city AI risk prevention and empowerment security.
  2. Risk prevention: Ensure the safe operation of AI from multiple aspects.
  3. Empowerment security: Use AI technology to improve the level of urban security protection.
  4. Basic principles: such as unified leadership, hierarchical management, etc.

Risk prevention plan

  1. Model algorithm security: Maintain fairness and transparency, improve explainability, etc.
  2. Data element security: ensure collection, configuration, prevention of poisoning and leakage.
  3. Business service security: monitor content generation, identify forged content, and ensure service call security.
  4. Platform capability security: prevent computing power abuse and ensure supply chain security.
  5. Operational compliance security: system and AI system construction, operation management, and evaluation indicator setting.

Enabling security solutions

  1. Network security: including next-generation firewalls, full-flow threat detection and other technical applications.
  2. Application security: including risk control, mimetic honeypot and other technical applications.
  3. Data security: including watermarking, classification and grading, auditing and other technical applications.
  4. Public security: including social governance, disaster monitoring and early warning and other technical applications.

Case studies and practices

This white paper uses the examples of comprehensive systems such as the Jiangxi Provincial and Zhongshan Smart City to elaborate on the effects of AI+Smart City security solutions in actual applications. Through case analysis, it can be seen that AI+ smart city security solutions are of great significance in improving urban security protection capabilities and reducing security risks.

Future development direction

1. Improve laws, regulations and security standards system:

Promote technological development and strengthen independent control, such as increasing investment in core technologies and encouraging domestic substitution.

2. Strengthen operational management level:

Cultivate professional teams, improve AI security systems and governance, clarify the responsibilities of all parties, and achieve security goals.

Conclusion

AI+ smart city security solutions are an important way to meet the security challenges of smart cities. By building a complete security system architecture, formulating risk prevention and empowerment security plans, strengthening the exploration of cases and practices, and clarifying future development directions, we can continuously improve the security protection capabilities of smart cities and provide strong guarantees for the sustainable development of cities.

China Mobile releases “AI+ Smart City Security Solution White Paper” in 2024 PDF English version download

PDF download: 2024 AI+ Smart City Security Solution White Paper.

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