What is bot detection

Bot detection refers to the technology of identifying and distinguishing bots from human users. These automated programs can be well-intentioned, such as search engine crawlers, or malicious, such as attackers who try to illegally access or abuse website resources. Malicious bot may have a negative impact on the website, such as crawling sensitive information, malicious registration, brushing traffic, etc.

Therefore, it is very important to detect and analyze bot traffic. Bot detection means can be divided into front-end detection and back-end data analysis:

Front-end detection: including device fingerprint acquisition, browser plug-in information acquisition, etc. These technologies can help identify whether the visitor is an automated program.

Back-end data analysis: mainly to develop a detection model, combined with threat intelligence, IP reputation and other means, analyze access logs and identify abnormal behavior patterns. In the detection strategy, the following methods can be adopted:

IP intelligence: Analyze the source and behavioral characteristics of IP addresses, such as IP provided by data center servers, mobile operators' 4G networks or Internet service providers (ISP), as well as their concealment, dynamic changes, bandwidth and performance, cost and application scenarios.

HTTP request header detection strategy: Normal users' requests usually contain rich HTTP header information, including User-Agent, browser version, operating system and other information, while malicious crawlers often use forged or abnormal User-Agent strings, and may even lack other necessary header information.

In addition, multi-feature model detection can also be used, which is based on multi-dimensional data analysis for comprehensive evaluation, which is helpful to improve recognition efficiency and reduce the risk of false positives. This model will score according to the hit strategy, set different risk levels, and take corresponding actions according to the risk levels.

The purpose of Bot detection is to protect websites and applications from malicious BOTs and ensure the stability and security of the network. By continuously updating and sharing threat information, security experts can better prevent, detect and respond to cyber attacks. In the future, with the continuous progress of technology, including more machine learning algorithm applications, more sophisticated fingerprint identification technology, and cross-platform collaborative defense mechanism, the Internet will become more secure and reliable.