Whose data is private? When is it private? And how do we make it private?

UBC Graduate Research

Whose data is private? When is it private? And how do we make it private? Jung, Kumseok

Description

Kumseok Jung was a semi-finalist in the 2024 UBC Three Minute Thesis (3MT) competition. Kumseok presented their research, "Whose data is private? When is it private? And how do we make it private?" They hope to revolutionize privacy management in IoT systems by providing developers with an efficient and error-free framework for implementing privacy controls. Modern Internet-of-Things (IoT) devices, like "smart cameras," can collect rich data and perform various tasks, such as in retail settings where they capture people's identities and actions for purposes like theft prevention or operational analytics. Managing privacy in such systems is complex due to varying data usage and legal and ethical challenges. Engineering privacy-respecting IoT systems requires specific controls, often inefficiently done by developers. Kumseok's research focuses on designing a software framework to streamline and ensure accurate privacy control implementation in IoT systems. Kumseok Jung is pursuing their PhD in Computer Engineering in the Department of Electrical and Computer Engineering under the supervision of Dr. Karthik Pattabiraman and Dr. Sathish Gopalakrishnan.

Item Metadata

Title	Whose data is private? When is it private? And how do we make it private?
Creator	Jung, Kumseok
Date Issued	2024-03-12
Description	Kumseok Jung was a semi-finalist in the 2024 UBC Three Minute Thesis (3MT) competition. Kumseok presented their research, "Whose data is private? When is it private? And how do we make it private?" They hope to revolutionize privacy management in IoT systems by providing developers with an efficient and error-free framework for implementing privacy controls. Modern Internet-of-Things (IoT) devices, like "smart cameras," can collect rich data and perform various tasks, such as in retail settings where they capture people's identities and actions for purposes like theft prevention or operational analytics. Managing privacy in such systems is complex due to varying data usage and legal and ethical challenges. Engineering privacy-respecting IoT systems requires specific controls, often inefficiently done by developers. Kumseok's research focuses on designing a software framework to streamline and ensure accurate privacy control implementation in IoT systems. Kumseok Jung is pursuing their PhD in Computer Engineering in the Department of Electrical and Computer Engineering under the supervision of Dr. Karthik Pattabiraman and Dr. Sathish Gopalakrishnan.
Genre	Presentation; Other
Type	Moving Image; Text
Language	eng
Series	Three Minute Thesis (3MT)
Date Available	2025-01-21
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0447805
URI	http://hdl.handle.net/2429/90170
Affiliation	Applied Science, Faculty of; Electrical and Computer Engineering, Department of
Peer Review Status	Unreviewed
Scholarly Level	Graduate
Rights URI	https://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

Item Media

Jung_K_3MT_Data_private_2024.mp4 -- 9.33MB

Jung_K_3MT_Data_private_slides_2024.pdf -- 332.56kB

Jung_K_3MT_Data_private_transcript_2024.pdf -- 98.47kB

Item Citations and Data

Rights

Attribution-NonCommercial-NoDerivatives 4.0 International

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