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.
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.
","abstract_html":"<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>","abstract_has_math":false,"creators":["Nguyen, Neal Huynh"],"institution":null,"degree_name":"MS in Engineering","degree_level":null,"degree_discipline":"Electrical Engineering","degree_department":null,"school":null,"contributors":["Andrew Danowitz"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-12-01T08:00:00Z","date_published":"2018-12-01T08:00:00Z","updated_at":"2026-07-24T01:32:08Z","subjects":["IoT","Power","Network","Visual","Dataset","Database","Other Computer Engineering","Other Electrical and Computer Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["10.15368/theses.2018.149"],"render_values":[{"text":"10.15368/theses.2018.149","href":"https://doi.org/10.15368/theses.2018.149","code":true}]}]},"links":{"outbound_url":"https://digitalcommons.calpoly.edu/theses/1990","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Andrew Danowitz"]},{"key":"dc:creator","label":"Author","values":["Nguyen, Neal Huynh"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2018-12-14T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MS in Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["IoT","Power","Network","Visual","Dataset","Database","Other Computer Engineering","Other Electrical and Computer Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.calpoly.edu/theses/1990","10.15368/theses.2018.149"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
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.
"]},{"key":"dc:title","label":"Title","values":["Logging, Visualization, and Analysis of Network and Power Data of IoT Devices"]}]}],"canonical_facts":{"dc:contributor":["Andrew Danowitz"],"dc:creator":["Nguyen, Neal Huynh"],"dc:date.available":["2018-12-14T08:00:00Z"],"dc:description.abstract":["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.
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.
"],"dc:identifier":["https://digitalcommons.calpoly.edu/theses/1990","10.15368/theses.2018.149"],"dc:subject":["IoT","Power","Network","Visual","Dataset","Database","Other Computer Engineering","Other Electrical and Computer Engineering"],"dc:title":["Logging, Visualization, and Analysis of Network and Power Data of IoT Devices"],"thesis:degree_discipline":["Electrical Engineering"],"thesis:degree_name":["MS in Engineering"]},"updated_at":"2026-07-24T01:32:08Z"}