Title

Cisco - Time Series Anomaly Detection

Student Classification

Senior

Faculty Mentor

Dr. Gina Bullock

Department

Information Technology

Document Type

Poster

Publication Date

Spring 2019

Abstract

Develop a python script to capture live data from servers to look at CPU, memory, and load utilization. If there is an anomaly, it will look at the trends of events that have occurred in the past. This will eliminate false positives from occurring. If an event has never occurred before, this will be considered a real anomaly and an alert should be sent to Cisco personnel.

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