What is Synthetic Internet Traffic? Bots vs Real Users

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A substantial share of web traffic on the Internet is not generated by real people using links and browsing through pages on websites. Rather, it consists of automated scripts or computer programs sending requests for information from various websites, mobile applications, and API interfaces. 

The name for such automated traffic is non-human or automated web traffic. Understanding the way machine-generated web requests are made can help businesses separate useful automation from the harmful kind that endangers digital security.

Learning About Synthetic Internet Traffic

Well then, what does it mean when we talk about synthetic internet traffic? This means that such traffic does not come from human actions but is made with the help of software applications, scripts, or bots.

 The bots interact with digital assets through HTTP requests, data endpoint access, page navigation, and form filling. As you have already seen, there are two types of synthetic interactions:

• Good Bots – Useful bots used for indexing search engines, website monitoring, third-party integration, and other purposes.
• Bad Bots – Malicious bots created for stealing data, account takeover, manipulating advertising metrics, and many other actions.

Whereas human traffic involves organic behavior, automated actions operate fast and make thousands of requests per second.

Traffic Bots – Good Ones vs. Harmful Ones

It is not true that all software programs can be classified as malicious ones. Many enterprises use traffic bots to ensure internet searches remain accessible, protected, and available. 

Nonetheless, determining whether traffic bots perform any useful function or are potentially harmful becomes an essential issue for today’s security experts.

Features of Good Traffic Bots

Legitimate bots work in compliance with all rules:

• Identifiable Nature: They declare their function through easily recognizable User-Agents.
• Following the Guidelines: They follow rules set by website operators via the robots.txt file.
• Controlled Action Rate: They ensure a proper frequency of requests to avoid any server issues.
• Examples of Such Bots Include: Googlebot, uptime monitors, news feeds.

Properties of Bad Bots

Bad bots try to conceal their activities and, at the same time, use digital resources:

• Obfuscating Identification: It disguises itself through User-Agent header manipulation and changing IP addresses via proxy servers.
• Simulating a Human: The advanced bot simulates mouse clicks, keystrokes, and dynamic page interactions to circumvent elementary anti-bot measures.
• Large-Scale Attacks: They perform large-scale automated attacks that lead to high bandwidth consumption and legitimate user disruption.
• Examples: Web scraping bots, credential-stuffing scripts, inventory-hoarding bots, and DDoS attack botnets.

Methods of Detection and Protection from Malicious Bots

Ensuring web application security entails taking measures that go beyond simple IP blocking to effective, real-time threat management solutions:

• Perform Behavior Analytics: Track down communication frequency, request intervals, and navigation speed to detect non-human behavior.
• Employ Interactive and Cryptographic Challenges: Make use of Proof-of-Work challenges provided by browsers or adaptive puzzles to block automated requests without hindering real users.
• Set Rate Limiting Parameters: Limit the amount of API requests or form submissions that can be made by an IP address per time period.
• Deploy Specialized Bot Management Tools: Employ AI-based security solutions to dynamically analyze requests and block malicious bots right on the network perimeter.

Knowing what synthetic internet traffic is provides technical specialists with means to discriminate against harmful automation without harming legitimate users.

Conclusion

Operating in a world where bots take control over the web demands ongoing attention. Knowing what is synthetic internet traffic helps organizations distinguish beneficial crawlers from malicious scripts. 

Using behavioral analysis, rate limiting, and bot management systems, companies can safeguard their digital properties, keep their operational data true, and provide efficient services to actual people.

Frequently Asked Questions