Cisco - Time Series Anomaly Detection

Authors

Bria Richardson, North Carolina Agricultural and Technical State University

Student Classification

Senior

Faculty Mentor

Gina Bullock, Ph.D.

Department

Department of Computer Systems Technology; Information Technology

Document Type

Poster

Publication Date

Spring 2019

Disciplines

Databases and Information Systems

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.

Recommended Citation

Richardson, Bria, "Cisco - Time Series Anomaly Detection" (2019). Undergraduate Research and Creative Inquiry Symposia. 202.
https://digital.library.ncat.edu/ugresearchsymposia/202