Hong Kong High defense server with comprehensive protection capabilities, suitable for today's complex Internet environment to help enterprises to ensure business security. In actual operation, will high-defense traffic misjudge normal traffic as attack traffic? Normal user access is restricted and services are affected. It is still possible that this will happen in practice. This misjudgment may be caused by many reasons, such as the firewall setting rules are too strict or the traffic cleaning policy is not accurate enough, which will affect the abnormal traffic of normal user requests. How should an enterprise optimize its defense strategy if such a situation occurs when using a Hong Kong high defense server?

The main cause of misjudging traffic is the traffic cleaning mechanism of the high-defense server. To defend against DDoS attacks, the high-defense server analyzes incoming traffic in real time and processes it based on specific defense policies. However, in peak attack times, to prevent malicious traffic from being blocked, the defense rules are more conservative, which may restrict the access of normal users.

In this case, you need to check analysis logs and traffic detection to check whether a large number of IP addresses of normal users are blocked, or whether the access of users in a specific area or network is abnormal. Misjudged traffic may show that the specific request frequency, request characteristics, or IP segment is incorrectly identified as the attack source. You can find out the misjudged rule and adjust the defense policy accordingly.

Secondly, the defense strategy of Hong Kong high defense server is optimized to reduce traffic judgment errors. Generally, it can support flexible policy configuration, and adjust the protection wall rules, access frequency restrictions, and IP reputation evaluation according to the actual situation. If the normal user traffic is heavy, the access frequency limit of a single IP address can be relaxed to prevent the traffic from being misjudged as malicious traffic due to high access frequency. In addition, more accurate traffic identification can be combined with WAF (Web Application Firewall) to distinguish between normal user requests and malicious attack traffic through intelligent rules, thus reducing the possibility of miscalculation.

The whitelist mechanism is also an effective way to solve the problem of misjudgment. If normal users are often misidentified by the high-defense server, you can whitelist the IP addresses or IP address segments of these users to bypass some traffic cleaning policies and ensure normal access. However, when using whitelisting, you need to carefully assess the security risks.

In addition to adjusting server-side defense policies, enterprises can also reduce the probability of misjudgments by guiding users to adjust access methods. For example, if misjudgments are found to be concentrated in some specific network environments, for example, users in certain ISPs or regions are frequently blocked, you can advise users to change networks, use different DNS resolution services, or even access through virtual networks or proxy servers if necessary. Although these measures cannot fundamentally solve the problem, they can alleviate business losses caused by misjudgments in a short period of time.

For some services that rely on API interfaces, misjudgments may cause data interaction to be blocked, affecting the normal operation of applications. In this case, enterprises can consider optimizing their API request strategy, such as reducing the frequency of requests, adding authentication mechanisms, and using more stable connections. In addition, some high-security servers support traffic identification based on specific request headers, authentication tokens, etc. Enterprises can use these features to improve the identification of API traffic and reduce the possibility of misjudgment.

Most high defense service providers will have a dedicated technical team to help enterprises analyze traffic anomalies and assist in adjusting defense policies. You can apply to service providers to adjust traffic cleaning rules, or upgrade to more advanced defense solutions to obtain more accurate security protection.

Big data analysis and AI intelligent defense technology are also important trends to reduce misjudgments. Machine learning technology is adopted to realize more intelligent traffic identification by analyzing normal user behavior patterns and attacker behavior characteristics. The defense approach based on behavior analysis effectively reduces the miscalculation rate and improves the overall security.