Name: Aditi Nitin Kalbhor
School: Government Polytechnic Pune.
Project: Mathematical Modeling and Detection of Abnormal Network Traffic Using Statistical Methods
About your project (explanation):
What is network traffic?
Network traffic is the flow of data packets between devices over a network.It occurs during browsing, streaming, messaging, and online services.It is generated by users, applications, and background system processes.
What is Abnormal Traffic?
- Bad (abnormal) traffic is traffic that is unusually high, sudden, or unnatural compared to normal network behavior.
- It creates traffic spikes that go far beyond the normal statistical range.
- It can overload servers and network resources.
- It causes slow response, service disruption, or downtime.
How this helps overcome the issue?
It detects abnormal traffic early using mathematical rules.
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Early detection gives time to trigger security controls (rate limiting, firewall rules, blocking sources).
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It helps admins identify DDoS-like spikes quickly instead of manual monitoring.
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It reduces response time during traffic overload incidents.
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It works as a first-stage warning system before deeper security filtering.
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It is simple, explainable, and can run continuously on traffic data.
