Cal Poly
Logging, Visualization, and Analysis of Network and Power Data of IoT Devices
Abstract
dc:description.abstract<p>There are approximately 23.14 billion IoT(Internet of Things) devices currently in use worldwide. This number is projected to grow to over 75 billion by 2025. Despite their ubiquity little is known about the security and privacy implications of IoT devices. Several large-scale attacks against IoT devices have already been recorded.</p> <p>To help address this knowledge gap, we have collected a year’s worth of network traffic and power data from 16 common IoT devices. From this data, we show that we can identify different smart speakers, like the Echo Dot, from analyzing one minute of power data on a shared power line.</p>
Degree
thesis:*- Name thesis:degree_name
- MS in Engineering
- Discipline thesis:degree_discipline
- Electrical Engineering
- Year dc:date.available
- 2018
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Nguyen, Neal Huynh
- Contributors dc:contributor
-
- Andrew Danowitz
Subjects
dc:subject × 8Identifiers
dc:identifier.*- Identifier
- 10.15368/theses.2018.149
- OAI identifier oai:identifier
- oai:digitalcommons.calpoly.edu:theses-3348