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[2021.06.03(목)] 대학원 AI융합네트워크 & 인공지능학과 온 & 오프라인 콜로키엄 개최 안내
작성자 성채현 등록일 2021-05-25 조회수 779

< 대학원 AI융합네트워크 & 인공지능학과 온·오프라인 콜로키엄 개최 안내 >

(AI Convergence Network & Artificial Intelligence Colloquium)


-  When : 2021.06.03(Thu.), 16:30~18:00

-  Where : 

  · (Offline) 407 Pal-dal Hall

  · (Online) Zoom

    https://zoom.us/j/94947664366?pwd=NUtzSW9zeDNndUlvUFBSeGxSeWQ0Zz09

    회의 ID: 949 4766 4366 / 암호: 3647

-  Speaker :  Prof. Younghyun Kim (University of Wisconsin-Madison)


* Title : Usable Security and Privacy for the Internet-of-Things

 

* Abstract :

The explosive proliferation of the Internet-of-Things (IoT) ecosystems has enabled new applications and

services based on its ubiquitous presence. Equipped with a rich set of sensors,  IoT devices collect a vast

amount of data from the user and the environment in homes, buildings, and communities, often without the

user's awareness. As they collect more sensitive data than ever, ensuring security and privacy has become

a more daunting task. However, because the devices are large in number, heterogeneous, and resource-

limited, traditional security and privacy schemes are facing new challenges in usability.

In this talk, I will discuss IoT security and privacy focusing on the usability aspect. First, I will present two

context-based device authentication schemes that verify mutual proximity using unique signatures in the

physical measurement. These schemes can be used to establish secure connectivity among a large number

of IoT devices without user intervention. Second, a novel biometric challenge-response authentication

technique will be introduced. Unlike traditional biometric modalities that are unique and cannot be revoked,

this technique generates multiple challenge-response pairs of biometric signatures so that each signature is

used only once.

Finally, a real-time privacy control for eye-tracking data will be presented. Eye-tracking is a key input modality

in virtual and augmented reality but also can be used to secretly identify the user by a third party.

The proposed control framework can preserve both privacy and utility.

 

* Bio :

Prof. Younghyun Kim is an Assistant Professor of electrical and computer engineering and a Grainger Faculty

Scholar at the University of Wisconsin-Madison, where he leads the Wisconsin Embedded Systems and

Computing (WISEST) Laboratory. Prof. Kim received his B.S. degree in computer science and engineering and

the Ph.D. degree in electrical engineering and computer science from Seoul National University in 2007

and 2013, respectively. He was a Postdoctoral Research Assistant at Purdue University and a visiting scholar

at the University of Southern California. His current research interests include energy-efficient computing and

security and privacy of the Internet-of-Things. He was a recipient of the NSF Faculty Early Career Development

Program (CAREER) Award in 2019, the EDAA Outstanding Dissertation Award in 2013, the Design Contest

Award at the ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED) in 2007,

2012, 2017, and 2018, the IEEE SSCS Seoul Chapter Award at the International SoC Design Conference

in 2009, and the Best Paper Award Nomination at the ACM/IEEE ISLPED in 2016. He served on the Technical

Program Committees of various conferences including the Design Automation Conference (DAC), ISLPED,

Asia and South Pacific Design Automation Conference (ASP-DAC), International Conference on VLSI Design

(VLSID), and Symposium on Applied Computing (SAC). He served as a Guest Editor for a Special Issue of VLSI

Integration Journal (Elsevier).


Host : Prof. Hoeseok Yang(hyang@ajou.ac.kr)




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