Collection: Research and development and industrialization of efficient, reliable distributed content and proactive defense technologies for large-scale cloud-network convergence systems

Introduction

The project has made breakthroughs in three key technologies for large-scale cloud-network convergence systems: highly reliable content distribution, coordinated cyber-attack defense, and rapid and accurate identification of information content. It has developed 9 categories of tools and equipment for cloud-network content distribution and proactive defense, built a global intelligent distribution platform, and formed 19 industry-integrated solutions.

Adaptive Content Distribution, Collaborative Multi-Vector Cyber Attack Defense, and Omnidirectional Content Security Analysis and Regulation Throughout the Process for Ultra-Large-Scale Cloud-Network Convergence Systems

The results have three aspects of technical innovation: In adaptive content distribution for ultra-large-scale cloud-network convergence systems, the project proposed adaptive content distribution technology, designed a quantification method for random network boundary performance constraints, and introduced dynamic trustworthy routing optimization technology, achieving significant improvements in network layer circuit state detection and dynamic route optimization for CDN networks. It also proposed a universal latency feedback evaluation method for diverse heterogeneous applications.

In integrated multi-vector cyber attack collaborative defense for cloud-edge integration, the project introduced cross-layer multi-protocol traffic monitoring and collaborative defense technology, resolving cross-network resource scheduling issues in DDoS attack defense. The project first proposed a security big data aggregation and analysis method based on dynamic graph computing for multi-source heterogeneous networks, resolving cross-domain collaboration and sharing issues in advanced persistent threat defense.

In omnidirectional content security analysis and regulation throughout the process for ultra-large-scale cloud-network convergence systems, the project invented a multi-modal content analysis, understanding and rapid detection technology integrating lightweight deep learning algorithms and intelligent computing cluster architectures. It also proposed a crowd behavior analysis technology centered on wide-area content distribution for information dissemination.

Efficient Content Distribution, National Infrastructure Security, Public Service Project Support, Crime Investigation and Solving, Conference and Event Cybersecurity, and Personnel Training

The project results have achieved huge economic and social benefits in the past three years, including 11.651 billion RMB in new sales, 1.525 billion RMB in profits, and 1.59 million USD in foreign exchange revenue. This is mainly reflected in six aspects: supporting platforms like CCTV.com, ByteDance, Tencent Video, iQiyi, and Mango TV to achieve high-speed distribution of massive content through efficient content delivery services; providing network security guarantees for important national infrastructure like transportation, finance, and e-commerce, and providing security services for applications like 12306, Tencent Video, and ByteDance; securing public service project content safety, providing content security guarantees for important live streams like the CCTV Spring Festival Gala, Beijing Winter Olympics, and FIFA World Cup in Russia; assisting public security agencies in successfully cracking down on new types of internet-related black and gray production crimes, with cases involving over 232 million RMB; participating in network security protection during major national and social events and conferences; training over 2,500 undergraduates and nearly 1,900 postgraduates, carrying out nearly 10,000 training sessions, and promoting popular science education on cybersecurity among teenagers and youth.

Achieving Significant Influence in Content Distribution, Cybersecurity and Social Stability, Providing Critical Support for Global Content Delivery and Cybersecurity

This project has successfully developed 9 categories of cloud-network content distribution and proactive defense tools and equipment, building a huge global service platform that distributes over 12.3 billion streaming media files per day and handles trillions of content service requests. With the largest service scale in China and second largest globally, it provides efficient and reliable global content distribution, cyber attack defense and massive information identification services to China's top 100 internet companies and over 15,000 government, corporate, education, finance, transportation and other industry users, effectively supporting the network security of ultra-large-scale cloud-network convergence systems during major global conferences and events. The project results have been applied to China's leading content delivery company Wangsu Science and Technology, successfully defending against the highest intensity DDoS attacks (with peak traffic reaching 2.09Tbps), ensuring efficient and reliable operations for video content providers and blocking illegal content, fostering a clear online space. In addition, the project results have also been applied in Chinese government departments and large enterprises, providing advanced persistent threat detection and response security, assisting in the successful cracking down of several new types of internet fraud and black/grey industry major cases, with case values exceeding 100 million RMB. The project's influence spans content distribution, cybersecurity, social stability and criminal investigation fields, providing critical support for global content delivery and cybersecurity.