Technical Analysis and Practical Guide of Anti-DDoS Protection with High Defense CDN
Explores core defense technologies of Anti-DDoS CDN: edge node traffic scrubbing, Anycast routing, AI behavior modeling architecture. Includes 5-step defense implementation, selection criteria and pitfall avoidance guide. Helps enterprises build distributed protection system against terabit-level DDoS attacks.

I.The Evolution of DDoS Attacks: From "Traffic Flood" to "Surgical Strike"
Content: Modern DDoS attacks have evolved beyond simple bandwidth exhaustion. According to Cisco ASA Threat Report, over 63% of large-scale attacks now employ hybrid vectors (e.g., SYN Flood + DNS Amplification + HTTP POST Flood combinations), with 47% YoY increase in attacks exceeding 5Tbps thresholds.
These next-gen attacks utilize traffic signature masking (mimicking legitimate traffic patterns) and distributed node coordination to bypass traditional defense systems.
Critical Challenges:
- How to accurately identify and scrub malicious traffic without impacting legitimate user access?
- How to achieve seamless traffic orchestration and elastic scaling when attack volumes surpass single-node capacity?
II. The underlying defense architecture of high-defense CDN: three-dimensional protection from edge to core
Different from the single-point defense of traditional IDC, high-defense CDN relies on distributed architecture to build a protection barrier. Its core technical modules include:
1.Edge Nodes: The First Line of Defense in Traffic Scrubbing
Hardware Acceleration Clusters:Edge nodes equipped with dedicated NPU (Network Processing Unit) chips enable line-rate processing of 100Gbps+ traffic. Built-in hardware-level ACL rule engines block known malicious IPs (e.g., auto-banning IPs with AbuseIPDB scores >90) in milliseconds.
Layer-4 Traffic Filtering:For L4 attacks like UDP reflection and SYN Flood, source port randomization and session rate limiting restrict concurrent connections per IP to 1.5x business peaks (e.g., default 2,000/sec for web services).
2.Intelligent Traffic Orchestration: The "Flow Dam"
Anycast Technology:Mapping origin IPs to 200+ global high-defense nodes ensures attackers only detect the nearest node IP (reducing origin exposure by 99.2% in tests). Traffic exceeding node thresholds (e.g., 1.2Tbps) is automatically rerouted to adjacent nodes for load balancing.
BGP Dynamic Routing:Combining real-time link metrics (latency, packet loss), BGP dynamically optimizes post-scrubbing traffic paths (e.g., prioritizing CN2 GIA routes for US-China traffic, cutting latency by 40%).
3. Central cleaning cluster: "precision screen" for application layer attacks
- Seven-layer deep detection:Based on regular expression matching (Regex Matching) and semantic analysis, identify application layer threats such as HTTP Flood and CC attacks. For example: trigger verification code challenge for IPs with URI access frequency > 500 times/minute;By verifying the Referer header, block requests with illegal Referer (such as localhost).
- AI behavior modeling:Collect normal business traffic data for more than 7 days, train and generate dynamic baseline models (including 18 dimensions such as geographical distribution, request time period, user equipment, etc.), and trigger secondary detection for traffic that deviates from the baseline by more than 30% (the false alarm rate can be controlled below 0.05%).

III. Practical steps for defending against large-scale DDoS attacks (taking a 2.5Tbps attack as an example)
Step 1: Attack detection and feature analysis (0-3 minutes)
Step 2: Emergency interception by edge nodes (3-8 minutes)
- IP-level fast blocking:
Through the hardware ACL of the edge node, the malicious IP library of the threat intelligence platform (such as FireEye) is synchronized in real time, and the attack source IP segment (such as /24 subnet) is blocked, with a response time of <100ms. - Traffic cleaning policy adjustment:
For reflective attacks, enable source IP validation (Source IP Validation) to discard all traffic whose source IP is inconsistent with the return packet address; for HTTP Flood, shorten the keep-alive timeout from the default 15s to 5s to force the release of server connection resources.
Step 3: Global traffic scheduling and expansion (8-15 minutes)
- Node load balancing:Through the Anycast routing system, traffic that exceeds the processing capacity of a single node (such as 1.5T) is automatically diverted to nodes in adjacent regions (such as when East Asian traffic overflows, it is dispatched to Sydney and Tokyo nodes for cleaning), ensuring that the load of a single node does not exceed 70% of the peak value.
- Elastic bandwidth expansion:Trigger the backup cleaning cluster (pre-allocate 3T redundant bandwidth), dynamically announce the new cleaning node IP through the BGP protocol, and achieve minute-level defense capacity expansion (in a financial customer's actual combat, the defense peak was increased from 5T to 8T within 12 minutes).
Step 4: Deep protection of the source site (15-30 minutes)
- Back-to-source path encryption:Enable TLS 1.3 to encrypt back-to-source traffic, and use quantum key distribution (QKD) technology to ensure that the cleaned traffic is not tampered with or eavesdropped during the back-to-source process (applicable to highly sensitive businesses such as finance and medical care).
- Connection pool optimization:Configure Nginx connection pool on the source server, set proxy_max_temp_file_size 0 to prohibit disk caching, and limit the number of concurrent connections for a single IP (such as limit_conn_zone $binary_remote_addr zone=perip:10m; limit_conn perip 100) to prevent resources from being maliciously exhausted.

Step 5: Attack tracing and policy iteration (24 hours after the attack)
- In-depth log analysis:
Export the attack log of CDN nodes (including IP ownership, ASN number, and attack tool characteristics), visualize the attack chain through Maltego, and locate the attack infrastructure (such as the IP of a botnet control node: 185.153.224.12). - Defense strategy upgrade:
In response to the characteristics of this attack, add recognition rules (such as specific HTTP header fields and abnormal URL parameters) to the AI model, and simulate similar attacks through Chaos Engineering exercises to verify the effectiveness of the defense strategy.
IV. Five hard-core indicators for selecting high-defense CDN (engineer's guide to avoid pitfalls)
- Cleaning node density:
The number of nodes in the target area must be greater than 10/continent (e.g., the Asia-Pacific region must cover at least Hong Kong, Singapore, Tokyo, and Sydney) to ensure localized cleaning of attack traffic and avoid increased latency caused by cross-continental transmission. - Defense elasticity:
Service providers are required to provide minute-level elastic expansion capabilities, and the defense peak after expansion must be no less than 3 times the daily peak (e.g., daily 5T, burst can be expanded to 15T). - Protocol support:
Attack detection of new protocols such as HTTP/3 and QUIC must be supported, and compatible with national encryption algorithms (SM2/SM3/SM4) to meet domestic compliance requirements. - False blocking rate control:
The false blocking rate of high-quality service providers should be less than 0.01%, which can be verified by actual measurement: inject 5% of simulated attack traffic into normal business traffic and observe the access blocking rate of legitimate users. - Emergency response speed:
When an attack occurs, the technical team needs to provide customized defense strategies (such as protection rules for specific APIs) within 15 minutes, and support 24/7 telephone + work order dual-channel response.
5. Actual combat case: A cross-border e-commerce company resisted a 5.2Tbps UDP reflection attack
In March 2024, a cross-border e-commerce company encountered the largest UDP reflection attack in history, with a peak of 5.2Tbps. The attack traffic mainly came from NTP server reflections in North America. The defense process is as follows:
- Edge node interception: Block the top 1,000 attack source IPs through hardware ACL and clean 3.8Tbps of traffic;
- Intelligent scheduling: Divert the remaining 1.4T traffic to European and Asian nodes to avoid single node overload;
- Source station protection: Enable UDP port rate limit (only allow necessary ports such as 53 and 67 to pass), cooperate with CDN's UDP checksum verification to ensure that normal business (such as DNS resolution) is not affected;
- Attack tracing: Through log analysis, it was found that the attack exploited the monlist vulnerability of the old version of the NTP server, assisted the customer in submitting a vulnerability warning to CERT, and finally traced it to 3 botnet control centers.
Defense effect: During the attack, the website availability remained at 99.99%, and the order conversion rate only dropped by 1.2%, which is far lower than the industry average (20%-30%).
6. Daily protection checklist for operation and maintenance engineers
Protection phase | Operation items | Execution frequency |
---|---|---|
Daily inspection | 1. Check whether the CDN node IP is included in the RBL blacklist (such as Spamhaus ) 2. Verify whether the AI baseline model needs to be retrained | Once a day |
Strategy optimization | 1. Adjust the connection limit threshold according to the business peak 2. Update the URI protection whitelist every quarter (such as adding new API interfaces) | Once a week |
Emergency drills | 1. Use the LOIC tool to simulate a 500Gbps attack every month to test the node switching delay 2. Conduct a practical drill on source station IP switching every six months | Once a month |
Compliance audits | 1. Verify the data privacy compliance certificate of the region where the node is located (such as GDPR, Level 3 security protection) 2. Audit the retention time of attack logs (recommended ≥6 months) | Once a quarter |
VII. Summary:
Defense against large-scale DDoS attacks is never a victory of a single technology, but a systematic project of architecture design, strategy optimization, and emergency response. High-defense CDN builds a three-dimensional defense line of "edge interception - center cleaning - source station reinforcement" for enterprises through the deep integration of distributed cleaning, intelligent scheduling, and AI detection.
As a network security engineer, you must always remember that the best defense is not only to intercept attacks, but also to make attacks "unable to find, unable to hit, and unable to afford".
Action suggestions: When choosing a high-defense CDN, require the service provider to provide real attack interception logs and node performance measurement data to avoid falling into the propaganda trap of "theoretical defense". For enterprises with larger business scale, it is recommended to deploy a multi-CDN redundancy solution (primary service provider + backup service provider) to ensure service continuity under extreme attacks.
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