Title:
Watching IoTs that Watch Us

dc.contributor.author Huang, Danny Y.
dc.contributor.corporatename Georgia Institute of Technology. Institute for Information Security & Privacy en_US
dc.contributor.corporatename New York University. Tandon School of Engineering en_US
dc.date.accessioned 2020-10-05T19:22:20Z
dc.date.available 2020-10-05T19:22:20Z
dc.date.issued 2020-09-25
dc.description Presented online on September 25, 2020 at 12:00 p.m. en_US
dc.description Danny Y. Huang is an Assistant Professor at New York University. He is broadly interested in the security and privacy of consumer technologies, such as cryptocurrency and IoT. en_US
dc.description Runtime: 65:40 minutes en_US
dc.description.abstract Many consumers today are increasingly concerned about IoT security and privacy. There is much media hype about home cameras being hacked or voice assistants eavesdropping on conversations. However, it is unclear exactly what are security and privacy threats, how prevalent they are, and what are the implications on users, policymakers, and manufacturers, because there is no reliable large-scale data in the wild. In my talk, I’ll describe a new method to systematically collect a large-scale real-world dataset of IoT device network traffic. I’ll show you examples of security and privacy threats we identified on various IoT devices, along with a discussion on the potential legal issues. en_US
dc.format.extent 65:40 minutes
dc.identifier.uri http://hdl.handle.net/1853/63773
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries Cybersecurity Lecture Series
dc.subject Internet of Things en_US
dc.subject Privacy en_US
dc.subject Security en_US
dc.title Watching IoTs that Watch Us en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename School of Cybersecurity and Privacy
local.contributor.corporatename College of Computing
local.relation.ispartofseries Institute for Information Security & Privacy Cybersecurity Lecture Series
relation.isOrgUnitOfPublication f6d1765b-8d68-42f4-97a7-fe5e2e2aefdf
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication 2b4a3c7a-f972-4a82-aeaa-818747ae18a7
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