DDoS attacks exhaust server resources and paralyze operations by flooding the server with massive amounts of fake traffic. Many websites struggle with inadequate DDoS attack defenses. Traditional enterprise protection solutions are no longer sufficient to effectively defend against such attacks. High-defense IPs offer a more professional protection method, relying on intelligent traffic analysis, hiding the true origin server, and a resilient architecture to build a more reliable network security defense for enterprises.
The first line of defense for high-defense IPs is the refined identification and cleaning of traffic. Its core objective is to accurately distinguish between legitimate user traffic and malicious attack traffic.
Layered Detection System: High-defense IP nodes monitor inbound traffic 24/7. Through traffic feature analysis technology, the system can quickly identify typical traffic patterns of common DDoS attacks such as UDP floods and SYN floods. Once abnormal traffic peaks or abnormal packet structures are detected, the traffic is immediately marked as suspected attack traffic and a cleaning process is initiated.
Deep Behavioral Analysis: For application-layer attacks (such as HTTP Flood/CC attacks), high-defense IPs employ a more refined detection mechanism. By analyzing fine-grained metrics such as HTTP request frequency and behavioral patterns, combined with AI behavioral analysis, malicious requests simulating normal user behavior can be effectively identified.
Precise Cleaning Strategy: For flagged suspected malicious traffic, the high-defense IP performs basic filtering and deep behavioral analysis to distinguish between normal user requests and disguised attack traffic, ultimately forwarding only verified normal traffic to the origin server. The cleaning strategy also varies depending on the type of attack: for example, against SYN Flood attacks that consume server TCP connection resources, the high-defense IP uses the SYN Cookie mechanism to identify and discard malicious connections; while for CC attacks, it may trigger CAPTCHAs or JS challenges to intercept malicious requests and allow normal users to pass.
The second line of defense for the high-defense IP is to hide the real IP of the origin server through a traffic forwarding mechanism, preventing attackers from directly locating and attacking the origin site, thus reducing the direct impact of DDoS attacks at the source.
Traffic Dredging: After enabling the high-defense IP, user access traffic is first sent to the high-defense IP node, and then the node forwards normal traffic to the origin server. Throughout the process, the origin server's real IP communicates only with the high-defense IP nodes and is not exposed to the public network.
Intelligent Scheduling and Distributed Attacks: The high-defense IP has multiple distributed protection nodes that collectively handle traffic forwarding and attack mitigation. When a node encounters a large-scale attack, other nodes can share the load, preventing single-node overload and failure. Furthermore, Anycast technology enables attack traffic diversion and automatically switches to the optimal origin path.
The third line of defense for the high-defense IP is its distributed, elastically scalable architecture, enabling it to cope with ultra-large-scale attacks.
Elastic Bandwidth and Distributed Architecture: The high-defense IP employs a multi-node distributed deployment approach, combined with an elastic bandwidth resource scheduling mechanism, which can automatically expand its defense capacity in a short time, easily handling attack traffic at the hundreds of gigabytes or even terabytes level.
Multi-Layer Protection Strategy: The high-defense IP constructs a multi-layered protection system at the network layer, transport layer, and application layer.
Network Layer: Identifies and filters abnormal IP traffic such as UDP Flood and ICMP Flood.
Transport Layer: Employs technologies such as SYN Cookies and TCP proxies to counter SYN Flood attacks.
Application Layer: Identifies and blocks HTTP Flood and CC attacks by analyzing request frequency and behavior patterns. For complex application-layer attacks (such as SQL injection), DDoS protected IPs can also work in conjunction with Web Application Firewalls (WAFs) for deep detection and blocking.
Emergency Mechanisms and Monitoring: In extreme attack scenarios, DDoS protected IPs activate blackhole routing policies to temporarily block attacked IP addresses, cutting off the transmission path of malicious traffic and protecting the entire network environment. Simultaneously, a comprehensive real-time monitoring system tracks traffic changes and attack patterns, generating detailed log reports for subsequent analysis and optimization of security strategies.
DDoS protected IPs are widely used in e-commerce, finance, gaming, government, and other sectors with high business continuity requirements. For example, during major e-commerce promotions, DDoS protected IPs effectively ensure stable website operation, preventing business interruptions and economic losses due to attacks.
When deploying DDoS protected IPs, traffic is typically redirected to the protected node by modifying DNS resolution (CNAME access) or using BGP protocol redirection. When choosing a high-defense IP service provider, in addition to considering protection bandwidth and capabilities, you should also pay attention to whether it provides real-time monitoring, attack reporting, and log analysis functions, and ensure that its scrubbing bandwidth has a 50%-100% margin to cope with traffic peaks.
High-defense IPs build a comprehensive DDoS defense system through three core mechanisms: intelligent traffic scrubbing, hiding the real origin server, and elastic multi-layered protection. When selecting and using high-defense IPs, enterprises need to choose a suitable service provider and configure it reasonably according to their own business characteristics and security needs. Combining this with security components such as WAF and CDN to form a defense-in-depth is essential to maintain business stability and continuity in the face of various network attacks.
