View Proposal

Proposer
Inkar Zhumay
Title
Network Traffic Forecasting for Capacity Planning and Early Anomaly Warning
Goal
Description
For Aktobe Students Only. Build a forecasting and monitoring system over historical network traffic measurements, exploiting the strong daily and weekly seasonality present in aggregate link load. Evaluate anomaly detection against injected synthetic events of known magnitude and duration, reporting detection latency and false alarms per week alongside detection rate.
Resources
Background
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
1
Supervisor
Inkar Zhumay
Keywords
network traffic forecasting, time series analysis, capacity planning, anomaly detection, machine learning
Degrees
Bachelor of Science in Computational Sciences and Software Engineering
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