Applications of Anomaly Detection: Activity Classification for IoT Devices

Author/​Artist
Chiang, Michael [Browse]
Format
Senior thesis
Language
English

Details

Advisor(s)
Kpotufe, Samory K. [Browse]
Department
Princeton University. Department of Operations Research and Financial Engineering [Browse]
Class year
2017
Summary note
Internet of Things (IoT) devices are becoming more prevalent in our world with the rise of products like the Nest Thermostat and the Amazon Echo. As these devices become more common and widespread, there is a larger risk of the device being used maliciously. The goal of this thesis is to determine whether an IoT device is active or idle using anomaly detection techniques. Solving this subproblem is an important first step in potentially being able to detect if an IoT device is being used maliciously.

Supplementary Information