Meaning
Verification of traffic legitimacy is measured against the statistical spread of timestamps for incoming data calls. Analysis of request timing distribution shows whether connections arrive at a natural, variable pace or at the rigid intervals typical of a machine.
Visualization Method
Plotting the data helps identify clusters of activity that suggest a coordinated attack. When the request timing distribution reveals a high volume of calls at the exact same millisecond, it indicates a script is attempting to overwhelm the server. This pattern is common in denial of service attacks or inventory hoarding.
Filters can then be applied to block these specific signatures without affecting real users.
Identification Marker
Source discrimination is easier when the temporal patterns are compared across different geographic regions. If the request timing distribution is identical for thousands of different IP addresses, they are likely part of the same botnet. Legitimate traffic from a single city would show more variation due to different internet speeds and user habits.
This distinction allows the network to prioritize bandwidth for human customers.
Monitoring Delay
Observation of the time it takes for a server to answer each call provides further insight into the health of the system. While request timing distribution focuses on the arrival of the data, the delay in the reply can signal a bottleneck. High latency combined with a tight distribution of requests often means the system is under heavy load from automated scrapers.
Balancing the traffic helps maintain a smooth experience for everyone.