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Iron Flower joined Alibaba in 2006 and began working on security-related tasks in 2008. He was instrumental in establishing and implementing the first Software Development Lifecycle (SDL) for Taobao, as well as developing the initial web security solutions and development framework. He also played a key role in creating the first secure static code scanning platform. In the Wireless division, he led the service team and oversaw the technical security of the business unit. Additionally, he was one of the main architects behind the internal IM cloud platform. Currently, he is responsible for building the safety technology platform product system and developing foundational security measures. His work focuses on the medium-scale construction of security products, infrastructure technology systems, and ensuring the security of major group events.
Traffic cleaning, also known as Anti-Malicious Network Traffic, refers to the process of filtering out harmful network traffic that accesses services at the network layer. The goal is to eliminate malicious or non-human traffic and ensure only legitimate traffic reaches the business system. This includes protection against DDoS attacks, CC attacks, web-based threats, bot behavior, service security, and traffic control. While traditional traffic cleaning solutions often involve deploying numerous security tools across the entire service chain, they can lead to high maintenance costs, limited protection capabilities, and potential data loss.
According to Iron Flower, the new seven-layer traffic cleaning approach introduces several advanced features. First, it focuses on refining specific scenarios rather than just targeting individual technical points. This means that attacks are now more complex and occur across multiple stages, requiring defense platforms to be tailored for different scenarios. Second, full-link data integration allows for analysis from the client all the way to the service layer, enabling more accurate modeling and better results. Third, intelligence plays a key role—some platforms are beginning to use automated and intelligent defense mechanisms to adapt to evolving threats.
For common malicious activities like DDoS attacks and malicious vulnerability scans, the industry typically relies on anti-DDoS systems, WAFs, and firewall products. However, Alibaba has taken this a step further by intelligently identifying and handling malicious traffic at the network layer, using both vertical and horizontal scene data to enhance its defenses.
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Latest Application Results
Currently, the seven-layer traffic cleaning system is responsible for all network-layer traffic cleaning and guaranteeing operations across the Alibaba Group. During the 2017 Double 11 event, it successfully handled a peak traffic load of 20 million QPS, ensuring that over 99.85% of the traffic reaching the core trading system was clean and legitimate.
"This year’s Double 11 was the smoothest and most efficient one in recent years," said Tiehua. "It wasn’t the result of a single system or platform alone." He emphasized that achieving such success requires seamless integration between online and offline systems, comprehensive consideration of all aspects of the business, and a stable, reliable system that supports every stage of the operation.
Functional and Technical Insights
Thanks to Alibaba’s complex and rapidly growing business, building a robust security system is both challenging and essential. It's not just about meeting current needs but also anticipating future requirements. Balancing security, performance, and user experience is critical to maintaining a strong and sustainable system.