What are the common problems of flow cleaning? Summary of practical solutions for flow cleaning

at the moment of the rapid development of Internet business, abnormal traffic has become an important factor threatening the stability of enterprise business. At best, it occupies bandwidth resources to cause normal user access cards, and at worst, it causes system paralysis and causes direct economic losses. Traffic cleaning, as the core means to deal with abnormal traffic, has gradually become an essential ability for enterprise operation and maintenance, but many practitioners still have problems such as vague cognition and improper operation. This article will sort out common questions about traffic cleaning, and summarize practical solutions to help enterprises build a traffic protection system efficiently.

First, traffic cleaning core cognition common questions?

many enterprises first contact flow cleaning, easy to confuse its concept and application scenarios, and then lead to the failure of protection strategies, first clear the core understanding is the basis for flow cleaning.

1, traffic cleaning can only deal with DDoS attacks?

this is a typical cognitive misunderstanding, the protection range of traffic cleaning is far more than DDoS attacks, but also to identify and filter crawler traffic, incentive-based traffic malicious traffic, abusive registration traffic and other abnormal traffic types. For example, during the promotion of e-commerce platforms, traffic cleaning can accurately intercept the incentive-based traffic of batch malicious orders and protect the purchase rights of normal users.

2, traffic cleaning will mistakenly intercept normal traffic?

as long as a reasonable protection strategy is configured, traffic cleaning will not mistakenly intercept normal traffic. Professional traffic cleaning system will build a recognition model based on multi-dimensional data such as user behavior characteristics, access frequency, IP reputation database, etc., and perform hierarchical verification of traffic. Only mark and intercept abnormal traffic that does not conform to normal access logic to maximize the smooth operation of normal business.

2, common errors in the operation stage of flow cleaning?

even if the core cognition of flow cleaning is clarified, in the actual operation process of enterprises, it is easy to fall into a misunderstanding due to the lack of detailed control, which affects the final effect of flow cleaning.

1, blindly copy the general traffic cleaning strategy?

the business scenarios of different industries are very different, and the general traffic cleaning strategy cannot adapt to all needs. For example, the financial industry has extremely high requirements for user identity verification, and traffic cleaning needs to focus on strengthening real-name authentication and multi-dimensional verification of transaction behavior; while the content platform needs to focus on intercepting crawler traffic to prevent content from being maliciously crawled. Blind copying strategy will lead to excessive or insufficient protection, and enterprises need to customize exclusive traffic cleaning rules based on their own business characteristics.

2, ignore data analytics after traffic cleaning?

traffic cleaning is not a one-time operation, but a dynamic process of continuous optimization. Many enterprises do not review the cleaning data after completing the traffic cleaning, and cannot find the characteristics of new abnormal traffic in time, resulting in the gradual failure of the protection strategy. Enterprises should regularly export traffic cleaning logs, analyze the source and attack mode of abnormal traffic, and adjust the protection rules based on this to improve the accuracy of traffic cleaning.

3. How to scientifically determine the effect of flow cleaning?

carry out flow cleaning, enterprises need scientific judgment standards to verify the protection effect and avoid falling into the dilemma of "doing flow cleaning but not knowing whether it is useful".

1. Changes in core business indicators?

this is the most intuitive basis for judgment, enterprises can compare the core business indicators before and after traffic cleaning, such as normal user visit success rate, page loading time, transaction conversion rate, etc. If the normal user visit success rate is increased by more than 10% after traffic cleaning, and the page loading time is shortened by 30%, it means that traffic cleaning effectively filters the abnormal traffic occupying resources, and business operation efficiency is improved.

2, abnormal traffic interception data statistics?

through the background statistics of the traffic cleaning system to view the type, quantity, source IP distribution and other information of abnormal traffic intercepted every day. If the specific type of abnormal traffic can be stably intercepted and there is no normal user complaint of blocked access, it means that the policy configuration of traffic cleaning is reasonable and the protection effect is up to standard.

IV. Summary of practical solutions for flow cleaning?

combine the business scale and protection needs of different enterprises, the following traffic cleaning solutions can be adapted to most scenarios to help enterprises efficiently complete traffic protection.

1, cloud native traffic cleaning service?

suitable for small and medium-sized enterprises and Cloud as a Service deployment business, no need to purchase hardware equipment, through the cloud platform can quickly open traffic cleaning service, pay according to the actual protection bandwidth or cleaning traffic volume, cost controllable. Cloud native traffic cleaning service relies on cloud vendors massive IP reputation database and computing resources, can quickly respond to large-scale DDoS attacks, and support elastic expansion to meet the protection needs of business emergencies.

2, hardware-level flow cleaning equipment deployment?

suitable for large enterprises and core business systems. Hardware-level traffic cleaning equipment is deployed at the exit of the enterprise's local network, which can realize real-time cleaning and protection of traffic, and higher data security. Such equipment has strong computing power and can handle large-scale abnormal traffic. At the same time, it supports custom protection rules and adapts to complex business scenarios of enterprises. However, the upfront purchase and operation and maintenance costs are relatively high.

To sum up, traffic cleaning is the core means for enterprises to deal with abnormal traffic. From clear core cognition, avoiding operational misunderstandings, to scientific judgment of the effect and selection of adaptation plans, each link affects the final protection ability of traffic cleaning. Enterprises need to combine their own business characteristics and continuously optimize traffic cleaning strategies in order to build a stable and reliable traffic protection system and ensure the healthy operation of the business.