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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 × 8

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.calpoly.edu:theses-3348

Chain of custody

source
Harvested from
Cal Poly
Base URL
digitalcommons.calpoly.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Nguyen, Neal Huynh. Logging, Visualization, and Analysis of Network and Power Data of IoT Devices. 2018. https://digitalcommons.calpoly.edu/theses/1990